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Results
Found 3910 publication records. Showing 3910 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 4 | Hongbing Liu, Shengwu Xiong, Qiong Chen |
Training fuzzy support vector machines by using boundary of rough set.  |
GEC Summit  |
2009 |
DBLP DOI BibTeX RDF |
support vector machines, rough set, boundary, equivalence class, fuzzy support vector machines |
| 4 | Joachim Diederich |
Rule Extraction from Support Vector Machines: An Introduction.  |
Rule Extraction from Support Vector Machines  |
2008 |
DBLP DOI BibTeX RDF |
|
| 4 | Rolf Mitsdorffer, Joachim Diederich |
Prediction of First-Day Returns of Initial Public Offering in the US Stock Market Using Rule Extraction from Support Vector Machines.  |
Rule Extraction from Support Vector Machines  |
2008 |
DBLP DOI BibTeX RDF |
|
| 4 | Glenn Fung, Sathyakama Sandilya, R. Bharat Rao |
Rule Extraction from Linear Support Vector Machines via Mathematical Programming.  |
Rule Extraction from Support Vector Machines  |
2008 |
DBLP DOI BibTeX RDF |
|
| 4 | Carol Pedersen, Joachim Diederich |
Accent in Speech Samples: Support Vector Machines for Classification and Rule Extraction.  |
Rule Extraction from Support Vector Machines  |
2008 |
DBLP DOI BibTeX RDF |
|
| 4 | Shigeo Abe |
Sparse least squares support vector training in the reduced empirical feature space.  |
Pattern Anal. Appl.  |
2007 |
DBLP DOI BibTeX RDF |
Empirical feature space, RBF kernels, Support vector machines, Pattern classification, Least squares support vector machines, Cholesky factorization, Multi-class support vector machines |
| 3 | Pedro A. Forero, Alfonso Cano, Georgios B. Giannakis |
Consensus-based distributed linear support vector machines.  |
IPSN  |
2010 |
DBLP DOI BibTeX RDF |
optimization, sensor networks, support vector machines |
| 3 | Keng-Pei Lin, Ming-Syan Chen |
Privacy-preserving outsourcing support vector machines with random transformation.  |
KDD  |
2010 |
DBLP DOI BibTeX RDF |
classification, support vector machines, outsourcing, privacy-preserving data mining |
| 3 | Ligang Zhou, Kin Keung Lai, Lean Yu |
Credit scoring using support vector machines with direct search for parameters selection.  |
Soft Comput.  |
2009 |
DBLP DOI BibTeX RDF |
Genetic algorithm, Support vector machines, Direct search, Credit scoring |
| 3 | Reshma Khemchandani, Jayadeva, Suresh Chandra |
Optimal kernel selection in twin support vector machines.  |
Optimization Letters  |
2009 |
DBLP DOI BibTeX RDF |
Learning kernels, Twin support vector machines, Kernel methods, Convex optimization |
| 3 | Lei Gu, Hui-Zhong Wu |
Applying a novel decision rule to the sphere-structured support vector machines algorithm.  |
Neural Computing and Applications  |
2009 |
DBLP DOI BibTeX RDF |
Sphere-structured support vector machines, Pattern classification, Decision rule, Kernel functions |
| 3 | Jiandu Liu, Shanwen Zhang, Shengli Deng |
A Method of Plant Classification Based on Wavelet Transforms and Support Vector Machines.  |
ICIC  |
2009 |
DBLP DOI BibTeX RDF |
Plant leaf image feature extraction, Support vector machines, Wavelet transforms |
| 3 | Ola Amayri, Nizar Bouguila |
Improved Online Support Vector Machines Spam Filtering Using String Kernels.  |
CIARP  |
2009 |
DBLP DOI BibTeX RDF |
Online Active, Support Vector Machines, Spam, String Kernels, Feature Mapping |
| 3 | Xiaodong Li, Shumin Fei, Tao Zhang |
Face Recognition Based on Histogram of Modular Gabor Feature and Support Vector Machines.  |
ISNN  |
2009 |
DBLP DOI BibTeX RDF |
histogram sequence, support vector machines (SVM), face recognition, Gabor wavelet |
| 3 | Lei Wang, Yong Yang |
Selective Ensemble Algorithms of Support Vector Machines Based on Constraint Projection.  |
ISNN  |
2009 |
DBLP DOI BibTeX RDF |
Constraint projection, Support vector machines, Selective ensemble |
| 3 | Xuyun Fu, Gang Ding, Shisheng Zhong |
Aeroengine Turbine Exhaust Gas Temperature Prediction Using Support Vector Machines.  |
ISNN  |
2009 |
DBLP DOI BibTeX RDF |
Aeroengine condition monitoring, Turbine exhaust gas temperature, Support vector machines, Time series prediction |
| 3 | Kun Zhao, Yingjie Tian, Naiyang Deng |
Robust Unsupervised and Semi-supervised Bounded v - Support Vector Machines.  |
ISNN  |
2009 |
DBLP DOI BibTeX RDF |
Bounded ?? support vector machines, Robust, Semi-supervised learning, Unsupervised learning, Semi-definite programming |
| 3 | Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis |
Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection.  |
ICANN  |
2009 |
DBLP DOI BibTeX RDF |
support vector machines, feature selection, relevance feedback, Content-based image retrieval |
| 3 | Björn Waske, Jon Atli Benediktsson, Johannes R. Sveinsson |
Classifying Remote Sensing Data with Support Vector Machines and Imbalanced Training Data.  |
MCS  |
2009 |
DBLP DOI BibTeX RDF |
imbalanced training data, support vector machines, bagging, land cover classification, multispectral |
| 3 | Kai Ming Ting, Lian Zhu |
Boosting Support Vector Machines Successfully.  |
MCS  |
2009 |
DBLP DOI BibTeX RDF |
support vector machines, Boosting, local models |
| 3 | Gabriel Gómez Sena, Pablo Belzarena |
Early traffic classification using support vector machines.  |
LANC  |
2009 |
DBLP DOI BibTeX RDF |
support vector machines, traffic classification, traffic identification |
| 3 | Matthew Butler, Vlado Keselj |
Optimizing a Pseudo Financial Factor Model with Support Vector Machines and Genetic Programming.  |
Canadian Conference on AI  |
2009 |
DBLP DOI BibTeX RDF |
support vector machines, genetic programming, principle component analysis, financial forecasting |
| 3 | Nahla H. Barakat, Andrew P. Bradley |
The Effect of Domain Knowledge on Rule Extraction from Support Vector Machines.  |
MLDM  |
2009 |
DBLP DOI BibTeX RDF |
Domain knowledge utilization, Data mining, Machine learning, Support Vector Machines, Rule learning |
| 3 | Charles E. H. Berger, Cor J. Veenman |
Color Deconvolution and Support Vector Machines.  |
IWCF  |
2009 |
DBLP DOI BibTeX RDF |
forensic document analysis, questioned documents, color separation, color deconvolution, support vector machines, image processing |
| 3 | Danzhou Liu, Kien A. Hua |
Incremental query evaluation for support vector machines.  |
CIKM  |
2009 |
DBLP DOI BibTeX RDF |
support vector machines, relevance feedback, active learning, multimedia retrieval |
| 3 | Chengfu Yang, Zhang Yi |
Document clustering using locality preserving indexing and support vector machines.  |
Soft Comput.  |
2008 |
DBLP DOI BibTeX RDF |
Locality preserving indexing, Support vectors clustering, Support vector machines, Document clustering, Gaussian kernel |
| 3 | Yaoyong Li, Kalina Bontcheva |
Adapting Support Vector Machines for F-term-based Classification of Patents.  |
ACM Trans. Asian Lang. Inf. Process.  |
2008 |
DBLP DOI BibTeX RDF |
F-term classification, patent processing, support vector machines |
| 3 | Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho |
Investigation of Strategies for the Generation of Multiclass Support Vector Machines.  |
New Challenges in Applied Intelligence Technologies  |
2008 |
DBLP DOI BibTeX RDF |
multiclass problems, Support Vector Machines, Hybrid Intelligent Systems |
| 3 | Mitja Lenic, Boris Cigale, Bozidar Potocnik, Damjan Zazula |
Fast Segmentation of Ovarian Ultrasound Volumes Using Support Vector Machines and Sparse Learning Sets.  |
New Directions in Intelligent Interactive Multimedia  |
2008 |
DBLP DOI BibTeX RDF |
Ovarian follicles, Iterative SVM, Fast learning, Sparse learning sets, Support vector machines (SVM), Ultrasound imaging, Medical image segmentation |
| 3 | David Martens, Johan Huysmans, Rudy Setiono, Jan Vanthienen, Bart Baesens |
Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring.  |
Rule Extraction from Support Vector Machines  |
2008 |
DBLP DOI BibTeX RDF |
|
| 3 | XuanLong Nguyen, Ling Huang, Anthony D. Joseph |
Support Vector Machines, Data Reduction, and Approximate Kernel Matrices.  |
ECML/PKDD  |
2008 |
DBLP DOI BibTeX RDF |
approximate kernel matrices, classification, Support vector machines, kernel methods, matrix perturbation |
| 3 | Guangrui Wen, Jianan Yin, Xining Zhang, Ying Jin |
Application Research of Support Vector Machines in Dynamical System State Forecasting.  |
ICIC  |
2008 |
DBLP DOI BibTeX RDF |
State Forecasting, Support vector machines (SVMs), Dynamical System |
| 3 | Zeqing Yang, Libing Liu, Weiling Liu, Weidong Yang |
Research of CT / MRI Tumor Image Registration Based on Least Square Support Vector Machines.  |
ICIC  |
2008 |
DBLP DOI BibTeX RDF |
MRI Image, Transformation Model Estimation, Image Registration, CT Image, Least Square Support Vector Machines (LS-SVM) |
| 3 | Wai Chee Yau, Dinesh Kant Kumar, Tharangini Chinnadurai |
Lip-Reading Technique Using Spatio-Temporal Templates and Support Vector Machines.  |
CIARP  |
2008 |
DBLP DOI BibTeX RDF |
support vector machines, feature selection, motion segmentation, Zernike moments, visual speech recognition |
| 3 | José Antonio Gutiérrez de Mesa, L. Bengochea Martínez |
Discovering Knowledge in a Large Organization through Support Vector Machines.  |
ICCS  |
2008 |
DBLP DOI BibTeX RDF |
Documentation and Knowledge management, Support Vector Machines, Indexation, Stemming |
| 3 | Jon Devine, Anthony Stefanidis |
Support Vector Machines for Spatiotemporal Analysis in Geosensor Networks.  |
SDH  |
2008 |
DBLP DOI BibTeX RDF |
spatiotemporal helix, support vector machines, spatiotemporal analysis, Geosensor networks |
| 3 | Mohd. Noor Md. Sap, Mojtaba Kohram |
Spectral Angle Based Kernels for the Classification of Hyperspectral Images Using Support Vector Machines.  |
Asia International Conference on Modelling and Simulation  |
2008 |
DBLP DOI BibTeX RDF |
Spectral Angle Function, Support Vector Machines, Remote Sensing, Kernel Function, Hyperspectral Images |
| 3 | Jieyue He, Hae-Jin Hu, Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan |
Rule Extraction from SVM for Protein Structure Prediction.  |
Rule Extraction from Support Vector Machines  |
2008 |
DBLP DOI BibTeX RDF |
|
| 3 | Shaoning Pang, Nikola K. Kasabov |
SVMT-Rule: Association Rule Mining Over SVM Classification Trees.  |
Rule Extraction from Support Vector Machines  |
2008 |
DBLP DOI BibTeX RDF |
|
| 3 | Feng Liu, Yifei Chen, Bernard Manderick |
Named Entity Recognition in Biomedical Literature: A Comparison of Support Vector Machines and Conditional Random Fields.  |
ICEIS (Selected Papers)  |
2007 |
DBLP DOI BibTeX RDF |
gene/protein names identification, support vector machines, feature selection, conditional random fields, Named entity recognition |
| 3 | Zhao Kun, Tian Ying-jie, Deng Nai-yang, Hiroshi Kuwajima, Takashi Washio |
Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines.  |
ICDM Workshops  |
2007 |
DBLP DOI BibTeX RDF |
Bounded Support Vector Machines, robust, semi- supervised learning, unsupervised learning, Semi- definite Programming |
| 3 | Liaoying Zhao, Xiaorun Li, Guangzhou Zhao |
Novel Design of Decision-Tree-Based Support Vector Machines Multi-class Classifier.  |
ICIC  |
2007 |
DBLP DOI BibTeX RDF |
Vector projection, Inter-class separability, Support vector machines, Pattern classification |
| 3 | Jingzhu Wu, Shiping Zhu, Yun Xu, Yiming Wang |
Study on Detection Technology of Milk Powder Based on Support Vector Machines and Near Infrared Spectroscopy.  |
CCTA  |
2007 |
DBLP DOI BibTeX RDF |
Milk Powder, Support Vector machines, Near Infrared Spectroscopy |
| 3 | Defu Zhang, Qingshan Chen, Lijun Wei |
Building Behavior Scoring Model Using Genetic Algorithm and Support Vector Machines.  |
International Conference on Computational Science  |
2007 |
DBLP DOI BibTeX RDF |
Behavior Scoring, Genetic Algorithm, Data Mining, Feature Selection, Multi-Class Support Vector Machines |
| 3 | Kun Zhao, Yingjie Tian, Naiyang Deng |
Unsupervised and Semi-supervised Lagrangian Support Vector Machines.  |
International Conference on Computational Science  |
2007 |
DBLP DOI BibTeX RDF |
Lagrangian Support Vector Machines, semi-supervised learning, unsupervised learning, margin, Semi-definite Programming |
| 3 | Theodore B. Trafalis, Indra Adrianto, Michael B. Richman |
Active Learning with Support Vector Machines for Tornado Prediction.  |
International Conference on Computational Science  |
2007 |
DBLP DOI BibTeX RDF |
tornado prediction, machine learning, support vector machines, Active learning, weather forecasting |
| 3 | Carlotta Orsenigo, Carlo Vercellis |
Predicting HIV Protease-Cleavable Peptides by Discrete Support Vector Machines.  |
EvoBIO  |
2007 |
DBLP DOI BibTeX RDF |
HIV protease, cleavable peptides prediction, discrete support vector machines |
| 3 | Shizhong Liao, Lei Jia |
Simultaneous Tuning of Hyperparameter and Parameter for Support Vector Machines.  |
PAKDD  |
2007 |
DBLP DOI BibTeX RDF |
Radius Margin Bound, Tuning Algorithm, Support Vector Machines, Model Selection |
| 3 | Shulin Wang, Ji Wang, Huowang Chen, Shutao Li |
Feature Extraction and Classification of Tumor Based on Wavelet Package and Support Vector Machines.  |
PAKDD  |
2007 |
DBLP DOI BibTeX RDF |
wavelet package decomposition, support vector machines, feature extraction, gene expression profiles, tumor classification |
| 3 | Zhiyong Li 0006, Weilin Wu |
Phase Space Reconstruction Based Classification of Power Disturbances Using Support Vector Machines.  |
PAKDD  |
2007 |
DBLP DOI BibTeX RDF |
Disturbance classification, Support vector machines, Power quality, Phase space reconstruction |
| 3 | Bin Yang, Jianhong Yang, Jinwu Xu, Debin Yang |
Area Localization Algorithm for Mobile Nodes in Wireless Sensor Networks Based on Support Vector Machines.  |
MSN  |
2007 |
DBLP DOI BibTeX RDF |
Area localization, Wireless sensor networks, Support Vector Machines, Mobile nodes |
| 3 | Ángela Blanco, Manuel Martín-Merino |
Boosting Support Vector Machines Using Multiple Dissimilarities.  |
KES  |
2007 |
DBLP DOI BibTeX RDF |
Dissimilarity Based Classifiers, Machine Learning, Support Vector Machines, DNA Microarrays, Gene Expression Data Analysis |
| 3 | Roberto T. Arrial, Roberto C. Togawa, Marcelo M. Brigido |
Outlining a Strategy for Screening Non-coding RNAs on a Transcriptome Through Support Vector Machines.  |
BSB  |
2007 |
DBLP DOI BibTeX RDF |
ncRNA, Paracoccidioides brasiliensis, machine learning, Support Vector Machines, non-coding RNA, transcriptome |
| 3 | Xiaoyue Wang, Rujiang Bai, Junhua Liao |
Chinese Weblog Pages Classification Based on Folksonomy and Support Vector Machines.  |
AIS-ADM  |
2007 |
DBLP DOI BibTeX RDF |
Tag-agent, Classification, Support Vector Machines, Folksonomy, Weblog |
| 3 | Dacheng Tao, Xiaoou Tang, Xuelong Li, Xindong Wu |
Asymmetric Bagging and Random Subspace for Support Vector Machines-Based Relevance Feedback in Image Retrieval.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2006 |
DBLP DOI BibTeX RDF |
Classifier committee learning, asymmetric bagging, support vector machines, relevance feedback, content-based image retrieval, random subspace |
| 3 | Sheila Garfield, Stefan Wermter |
Call classification using recurrent neural networks, support vector machines and finite state automata.  |
Knowl. Inf. Syst.  |
2006 |
DBLP DOI BibTeX RDF |
Spontaneous language, Classification, Support-vector machines, Recurrent neural networks, Finite-state automata |
| 3 | C. Philipp Schloter, Hamid K. Aghajan |
Wireless symbolic positioning using support vector machines.  |
IWCMC  |
2006 |
DBLP DOI BibTeX RDF |
location algorithms, radio mapping, support vector machines, LBS, location-based services, GPS, OFDM, WiMAX, 802.11, wi-fi, RSSI |
| 3 | Kun Zhao, Yingjie Tian, Naiyang Deng |
Unsupervised and Semi-Supervised Two-class Support Vector Machines.  |
ICDM Workshops  |
2006 |
DBLP DOI BibTeX RDF |
Bounded Support Vector Machines, unsupervised learning, Semidefinite Programming, margin, semisupervised learning |
| 3 | Tanasanee Phienthrakul, Boonserm Kijsirikul |
Evolving Hyperparameters of Support Vector Machines Based on Multi-Scale RBF Kernels.  |
Intelligent Information Processing  |
2006 |
DBLP DOI BibTeX RDF |
Support Vector Machines, Radial Basis Function, Kernel Methods, Evolutionary Strategies |
| 3 | Zhonghang Xia, Yulin Dong, Guangming Xing |
Support vector machines for collaborative filtering.  |
ACM Southeast Regional Conference  |
2006 |
DBLP DOI BibTeX RDF |
machine learning, support vector machines, recommendation systems, collaborative filtering |
| 3 | Boris Cigale, Mitja Lenic, Damjan Zazula |
Segmentation of Ovarian Ultrasound Images Using Cellular Neural Networks Trained by Support Vector Machines.  |
KES  |
2006 |
DBLP DOI BibTeX RDF |
template optimisation, medical ultrasound image segmentation, support vector machines, cellular neural network |
| 3 | Jerzy Martyna |
Least Squares Support Vector Machines for Bandwidth Reservation in Wireless IP Networks.  |
IEA/AIE  |
2006 |
DBLP DOI BibTeX RDF |
wireless networks, least squares support vector machines, bandwidth reservation |
| 3 | Liyong Ma, Jiachen Ma, Yi Shen |
Support Vector Machines Based Image Interpolation Correction Scheme.  |
RSKT  |
2006 |
DBLP DOI BibTeX RDF |
support vector machines, error correction, support vector regression, Image interpolation |
| 3 | Peisheng Gao, Weilin Wu |
Power Quality Disturbances Classification using Wavelet and Support Vector Machines.  |
ISDA  |
2006 |
DBLP DOI BibTeX RDF |
short time power transform, support vector machines, multiresolution, power quality |
| 3 | Gang Wu, Edward Y. Chang, Yen-Kuang Chen, Christopher J. Hughes |
Incremental approximate matrix factorization for speeding up support vector machines.  |
KDD  |
2006 |
DBLP DOI BibTeX RDF |
support vector machines, interior-point method, matrix factorization |
| 3 | Tanasanee Phienthrakul, Boonserm Kijsirikul |
Evolutionary strategies for multi-scale radial basis function kernels in support vector machines.  |
GECCO  |
2005 |
DBLP DOI BibTeX RDF |
support vector machines, radial basis function, kernel function, evolutionary strategies |
| 3 | Xavier Llorà, Kumara Sastry, David E. Goldberg, Abhimanyu Gupta, Lalitha Lakshmi |
Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness.  |
GECCO  |
2005 |
DBLP DOI BibTeX RDF |
human evaluation, synthetic fitness, support vector machines, interactive evolutionary computation |
| 3 | Shawn Martin |
Training Support Vector Machines Using Gilbert's Algorithm.  |
ICDM  |
2005 |
DBLP DOI BibTeX RDF |
Gilbert’s Algorithm, Nearest Point Algorithm, Support Vector Machines, Sequential Minimal Optimization |
| 3 | Jian Ma, Zengqi Sun |
MRS Classification Based on Independent Component Analysis and Support Vector Machines.  |
HIS  |
2005 |
DBLP DOI BibTeX RDF |
magnetic resonance spectra, classification, Support vector machines, feature extraction, independent component analysis |
| 3 | Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho |
Minimum Spanning Trees in Hierarchical Multiclass Support Vector Machines Generation.  |
IEA/AIE  |
2005 |
DBLP DOI BibTeX RDF |
Machine Learning, Support Vector Machines, multiclass classification |
| 3 | Wei-Chiang Hong, Ping-Feng Pai, Chen-Tung Chen, Ping-Teng Chang |
Recurrent Support Vector Machines in Reliability Prediction.  |
ICNC  |
2005 |
DBLP DOI BibTeX RDF |
Genetic algorithms, Support vector machines, Recurrent neural networks, Reliability prediction |
| 3 | R. Manimegalai, E. Siva Soumya, V. Muralidharan, Balaraman Ravindran, V. Kamakoti, D. Bhatia |
Placement and Routing for 3D-FPGAs Using Reinforcement Learning and Support Vector Machines.  |
VLSI Design  |
2005 |
DBLP DOI BibTeX RDF |
Three-Dimensional FPGA, Reinforcement Learning (RL), Two-opt algorithm, Support Vector Machines (SVMs), Placement and Routing |
| 3 | Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho |
Protein Cellular Localization with Multiclass Support Vector Machines and Decision Trees.  |
BSB  |
2005 |
DBLP DOI BibTeX RDF |
protein cellular localization, Machine Learning, Decision Trees, multiclass Support Vector Machines |
| 3 | Ming-guang Zhang, Zhan-ming Li, Wen-hui Li |
Study on Least Squares Support Vector Machines Algorithm and Its Application.  |
ICTAI  |
2005 |
DBLP DOI BibTeX RDF |
soft-sensor modeling, SVM, identification, Least Squares Support Vector Machines (LS-SVM) |
| 3 | Thomas Serafini, Luca Zanni, Gaetano Zanghirati |
Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines.  |
PVM/MPI  |
2005 |
DBLP DOI BibTeX RDF |
gradient projection methods, Support vector machines, parallel computation, quadratic programs, decomposition techniques |
| 3 | Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan Bratko, Blaz Zupan |
Nomograms for visualizing support vector machines.  |
KDD  |
2005 |
DBLP DOI BibTeX RDF |
nomogram, machine learning, visualization, support vector machines |
| 3 | Michael Doumpos |
An experimental comparison of some efficient approaches for training support vector machines.  |
Operational Research  |
2004 |
DBLP DOI BibTeX RDF |
Classification, Support vector machines, Linear programming, Experimental analysis |
| 3 | Jianping Li, Jingli Liu, Weixuan Xu, Yong Shi |
Support Vector Machines Approach to Credit Assessment.  |
International Conference on Computational Science  |
2004 |
DBLP DOI BibTeX RDF |
Credit assessment, Classification, Support vector machines |
| 3 | Maokuan Li, Yusheng Cheng, Honghai Zhao |
Unlabeled Data Classification via Support Vector Machines and k-means Clustering.  |
CGIV  |
2004 |
DBLP DOI BibTeX RDF |
Data Mining, Support Vector Machines, k-means clustering |
| 3 | Young Truong, Xiaodong Lin, Chris Beecher |
Learning a complex metabolomic dataset using random forests and support vector machines.  |
KDD  |
2004 |
DBLP DOI BibTeX RDF |
support vector machines, missing data, random forest, metabolomics |
| 3 | Tony Van Gestel, Johan A. K. Suykens, Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene, Bart De Moor, Joos Vandewalle |
Benchmarking Least Squares Support Vector Machine Classifiers.  |
Machine Learning  |
2004 |
DBLP DOI BibTeX RDF |
least squares support vector machines, sparse approximation, multiclass support vector machines |
| 3 | L. Cao, H. P. Lee, C. K. Seng, Q. Gu |
Saliency Analysis of Support Vector Machines for Gene Selection in Tissue Classification.  |
Neural Computing and Applications  |
2003 |
DBLP DOI BibTeX RDF |
Saliency analysis, Support Vector Machines, Feature selection |
| 3 | Lie Lu, HongJiang Zhang, Stan Z. Li |
Content-based audio classification and segmentation by using support vector machines.  |
Multimedia Syst.  |
2003 |
DBLP DOI BibTeX RDF |
audio classification and segmentation, support vector machines, Audio content analysis |
| 3 | Meilin Zhu, Yue Wang, Shifu Chen, Xiangdong Liu |
Sphere-Structured Support Vector Machines for Multi-class Pattern Recognition.  |
RSFDGrC  |
2003 |
DBLP DOI BibTeX RDF |
multi-class pattern recognition, sphere-structured, support vector machines, quadratic programming, kernel function |
| 3 | James Mayfield, Paul McNamee, Christine D. Piatko, Claudia Pearce |
Lattice-based tagging using support vector machines.  |
CIKM  |
2003 |
DBLP DOI BibTeX RDF |
SVM-Lattice, support vector machines, tagging, named entity recognition, part of speech tagging |
| 3 | Kwang In Kim, Keechul Jung, Se Hyun Park, Hang Joon Kim |
Support Vector Machines for Texture Classification.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2002 |
DBLP DOI BibTeX RDF |
machine learning, Support vector machines, feature extraction, pattern classification, texture analysis |
| 3 | Yong Ma, Xiaoqing Ding |
Face Detection Based on Cost-Sensitive Support Vector Machines.  |
SVM  |
2002 |
DBLP DOI BibTeX RDF |
|
| 3 | Chellu Chandra Sekhar, Kazuya Takeda, Fumitada Itakura |
Recognition of Consonant-Vowel (CV) Units of Speech in a Broadcast News Corpus Using Support Vector Machines.  |
SVM  |
2002 |
DBLP DOI BibTeX RDF |
|
| 3 | Hyeran Byun, Seong-Whan Lee |
Applications of Support Vector Machines for Pattern Recognition: A Survey.  |
SVM  |
2002 |
DBLP DOI BibTeX RDF |
|
| 3 | Giorgio Fumera, Fabio Roli |
Support Vector Machines with Embedded Reject Option.  |
SVM  |
2002 |
DBLP DOI BibTeX RDF |
|
| 3 | Seonghoon Kang, Hyeran Byun, Seong-Whan Lee |
Real-Time Pedestrian Detection Using Support Vector Machines.  |
SVM  |
2002 |
DBLP DOI BibTeX RDF |
|
| 3 | Anastasios Tefas, Constantine Kotropoulos, Ioannis Pitas |
Using Support Vector Machines to Enhance the Performance of Elastic Graph Matching for Frontal Face Authentication.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2001 |
DBLP DOI BibTeX RDF |
Fisher's discriminant ratio, constrained least-squares optimization, Support Vector Machines, Face authentication, elastic graph matching |
| 3 | Lijuan Cao, Francis Eng Hock Tay |
Financial Forecasting Using Support Vector Machines.  |
Neural Computing and Applications  |
2001 |
DBLP DOI BibTeX RDF |
Multi-layer perception, Support vector machines, Generalisation, Back propagation algorithm, Financial time series forecasting |
| 3 | Jean-Christophe Terrillon, Mahdad Nouri Shirazi, Daniel McReynolds, Mohamed Sadek, Yunlong Sheng, Shigeru Akamatsu, Kazuhiko Yamamoto |
Invariant Face Detection in Color Images Using Orthogonal Fourier-Mellin Moments and Support Vector Machines.  |
ICAPR  |
2001 |
DBLP DOI BibTeX RDF |
Automatic face detection, Skin color-based image segmentation, Support vector machines, Multilayer perceptron, Invariant moments |
| 3 | Weiqiang Liu, Peihua Shen, Yingge Qu, De-Shen Xia |
Fast Algorithm of Support Vector Machines in Lung Cancer Diagnosis.  |
MIAR  |
2001 |
DBLP DOI BibTeX RDF |
Lung Cancer Diagnosis, Support Vector Machines, Game Theory, Sequential Minimal Optimization |
| 3 | Arnulf B. A. Graf, Silvio Borer |
Normalization in Support Vector Machines.  |
DAGM-Symposium  |
2001 |
DBLP DOI BibTeX RDF |
input space, optimal separating hyperplane, Support Vector Machines, normalization, feature space |
| 3 | Theodoros Evgeniou, Massimiliano Pontil, Tomaso Poggio |
Regularization Networks and Support Vector Machines.  |
Adv. Comput. Math.  |
2000 |
DBLP DOI BibTeX RDF |
Support Vector Machines, regularization, Radial Basis Functions, Reproducing Kernel Hilbert Space, Structural Risk Minimization |
| 3 | Pabitra Mitra, C. A. Murthy, Sankar K. Pal |
Data Condensation in Large Databases by Incremental Learning with Support Vector Machines.  |
ICPR  |
2000 |
DBLP DOI BibTeX RDF |
Data Condensation, Data Mining, Support Vector Machines, Active Learning, Incremental Learning |
| 3 | Dmitry Pavlov, Jianchang Mao, Byron Dom |
Scaling-Up Support Vector Machines Using Boosting Algorithm.  |
ICPR  |
2000 |
DBLP DOI BibTeX RDF |
boosting algorithm, machine learning, Support vector machines |
| 3 | David Guillamet, Jordi Vitrià |
Local Discriminant Regions Using Support Vector Machines for Object Recognition.  |
SSPR/SPR ![In: Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30 - September 1, 2000, Proceedings, pp. 550-559, 2000, Springer, 3-540-67946-4. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
Local Appearance, Support Vector Machines, Computer Vision, Object Recognition |
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