|
|
|
|
Venues (Conferences, Journals, ...)
|
|
|
GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
The graphs summarize 1301 occurrences of 757 keywords
|
|
|
|
|
Results
Found 2131 publication records. Showing 2131 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 4 | Qiu-jie Li, Yao-bin Mao, Zhi-quan Wang, Wen-bo Xiang |
Cost-Sensitive Boosting: Fitting an Additive Asymmetric Logistic Regression Model.  |
ACML  |
2009 |
DBLP DOI BibTeX RDF |
Cost-Sensitive Boosting, Boosting, Logistic Regression |
| 4 | Taghi M. Khoshgoftaar, Erik Geleyn, Laurent A. Nguyen, Lofton A. Bullard |
Cost-Sensitive Boosting In Software Quality Modeling.  |
HASE  |
2002 |
DBLP DOI BibTeX RDF |
Decision Stumps, Cost-Boosting, Boosting, software quality modeling, C4.5, cost-sensitivity |
| 3 | Hongliang Fei, Jun Huan |
Boosting with structure information in the functional space: an application to graph classification.  |
KDD  |
2010 |
DBLP DOI BibTeX RDF |
feature selection, boosting, semi-structured data, graph classification, L1 regularization |
| 3 | Zhipeng Xie |
Effective Boosting of Naïve Bayesian Classifiers by Local Accuracy Estimation.  |
PAKDD  |
2009 |
DBLP DOI BibTeX RDF |
Naïve Bayesian classifier, local accuracy estimation, boosting, AdaBoost |
| 3 | Nida Meddouri, Mondher Maddouri |
Boosting Formal Concepts to Discover Classification Rules.  |
IEA/AIE  |
2009 |
DBLP DOI BibTeX RDF |
Data mining, Machine Learning, Boosting, Classification rules, Formal Concept |
| 3 | Yan Pan, Joonho Kong, Serkan Ozdemir, Gokhan Memik, Sung Woo Chung |
Selective wordline voltage boosting for caches to manage yield under process variations.  |
DAC  |
2009 |
DBLP DOI BibTeX RDF |
access time failure, selective wordline voltage boosting, cache, process variations, yield |
| 3 | Kai Ming Ting, Lian Zhu |
Boosting Support Vector Machines Successfully.  |
MCS  |
2009 |
DBLP DOI BibTeX RDF |
support vector machines, Boosting, local models |
| 3 | Beatriz López, Carles Pous, Albert Pla, Pablo Gay |
Boosting CBR Agents with Genetic Algorithms.  |
ICCBR  |
2009 |
DBLP DOI BibTeX RDF |
Distributed CBR, genetic algorithms, multi-agent systems, boosting |
| 3 | Jian Peng, Jinbo Xu |
Boosting Protein Threading Accuracy.  |
RECOMB  |
2009 |
DBLP DOI BibTeX RDF |
gradient tree boosting, nonlinear scoring function, conditional random fields, regression tree, protein threading |
| 3 | Saloua Litayem, Alexis Joly, Nozha Boujemaa |
Interactive objects retrieval with efficient boosting.  |
ACM Multimedia  |
2009 |
DBLP DOI BibTeX RDF |
scalability, relevance feedback, efficiency, boosting, local features, LSH, object retrieval |
| 3 | Hangzai Luo, Yuli Gao, Xiangyang Xue, Jinye Peng, Jianping Fan |
Incorporating feature hierarchy and boosting to achieve more effective classifier training and concept-oriented video summarization and skimming.  |
TOMCCAP  |
2008 |
DBLP DOI BibTeX RDF |
concept-oriented video skimming, feature hierarchy, multi-modal boosting, salient objects, Semantic video classification, unlabeled samples |
| 3 | Andrea Esuli, Tiziano Fagni, Fabrizio Sebastiani |
Boosting multi-label hierarchical text categorization.  |
Inf. Retr.  |
2008 |
DBLP DOI BibTeX RDF |
Hierarchical text classification, Boosting |
| 3 | Hamed Valizadegan, Rong Jin, Anil K. Jain |
Semi-Supervised Boosting for Multi-Class Classification.  |
ECML/PKDD  |
2008 |
DBLP DOI BibTeX RDF |
Semi-supervised learning, Boosting, Multi-Class Classification |
| 3 | Shuanhu Wu, Qingshang Zeng, Yinbin Song, Lihong Wang, Yanjie Zhang |
A New Strategy for Pridicting Eukaryotic Promoter Based on Feature Boosting.  |
ISNN  |
2008 |
DBLP DOI BibTeX RDF |
DNA sequence analysis, promoter prediction, feature boosting, motifs |
| 3 | Araken de Medeiros Santos, Anne Magaly de Paula Canuto |
Using ARTMAP-Based Ensemble Systems Designed by Three Variants of Boosting.  |
ICANN  |
2008 |
DBLP DOI BibTeX RDF |
Ensemble Systems, Boosting strategy, ARTMAP-Based neural networks, RePART |
| 3 | Amir Saffari, Horst Bischof |
Boosting for Model-Based Data Clustering.  |
DAGM-Symposium  |
2008 |
DBLP DOI BibTeX RDF |
Boosting, Ensemble Methods, Model-Based Clustering |
| 3 | Massih-Reza Amini, Tuong-Vinh Truong, Cyril Goutte |
A boosting algorithm for learning bipartite ranking functions with partially labeled data.  |
SIGIR  |
2008 |
DBLP DOI BibTeX RDF |
learning to rank with partially labeled data, boosting, information routing |
| 3 | Yongwook Yoon, Gary Geunbae Lee |
Text Categorization Based on Boosting Association Rules.  |
ICSC  |
2008 |
DBLP DOI BibTeX RDF |
Text Categorization, Boosting, Association rule mining |
| 3 | Wathanyoo Khaisongkram, Pongsathorn Raksincharoensak, Masamichi Shimosaka, Taketoshi Mori, Tomomasa Sato, Masao Nagai |
Automobile Driving Behavior Recognition Using Boosting Sequential Labeling Method for Adaptive Driver Assistance Systems.  |
KI  |
2008 |
DBLP DOI BibTeX RDF |
Automobile driving behavior, adaptive driving assistance system, driving-state recognition, boosting sequential labeling method |
| 3 | Weijian Ni, Yalou Huang, Dong Li, Yang Wang 0017 |
Boosting over Groups and Its Application to Acronym-Expansion Extraction.  |
ADMA  |
2008 |
DBLP DOI BibTeX RDF |
Acronym Extraction, Classification, Boosting |
| 3 | Adam Tauman Kalai, Yishay Mansour, Elad Verbin |
On agnostic boosting and parity learning.  |
STOC  |
2008 |
DBLP DOI BibTeX RDF |
agnostic boosting, learning parity with noise, sub-exponential algorithms, agnostic learning |
| 3 | Weijian Ni, Jun Xu, Hang Li, Yalou Huang |
Group-based learning: a boosting approach.  |
CIKM  |
2008 |
DBLP DOI BibTeX RDF |
group-based learning, boosting |
| 3 | Aurelie C. Lozano, Naoki Abe |
Multi-class cost-sensitive boosting with p-norm loss functions.  |
KDD  |
2008 |
DBLP DOI BibTeX RDF |
boosting, cost-sensitive learning, multi-class classification |
| 3 | Esteban Alfaro Cortés, Matías Gámez Martínez, Noelia García Rubio |
A boosting approach for corporate failure prediction.  |
Appl. Intell.  |
2007 |
DBLP DOI BibTeX RDF |
Corporate failure prediction, Boosting, Ensemble classifiers |
| 3 | Gökhan Tür |
Extending boosting for large scale spoken language understanding.  |
Machine Learning  |
2007 |
DBLP DOI BibTeX RDF |
Call classification, Boosting, Model adaptation, Semisupervised learning, Spoken dialog systems, Cost-sensitive classification |
| 3 | Rong Jin, Jian Zhang 0003 |
Multi-Class Learning by Smoothed Boosting.  |
Machine Learning  |
2007 |
DBLP DOI BibTeX RDF |
Multi-class learning, Regularization, Boosting, Smoothing |
| 3 | Sébastien Gambs, Balázs Kégl, Esma Aïmeur |
Privacy-preserving boosting.  |
Data Min. Knowl. Discov.  |
2007 |
DBLP DOI BibTeX RDF |
AdaBoost distributed learning, Boosting, Privacy-preserving data mining, Secure multiparty computation |
| 3 | Yufei Zha, Ying Chu, Duyan Bi |
A Boosting Discriminative Model for Moving Cast Shadow Detection.  |
EMMCVPR  |
2007 |
DBLP DOI BibTeX RDF |
Discriminative Random Fields, boosting, graph cut, Shadow detection |
| 3 | Cong Hou, Haizhou Ai, Shihong Lao |
Multiview Pedestrian Detection Based on Vector Boosting.  |
ACCV  |
2007 |
DBLP DOI BibTeX RDF |
Vector Boosting, classification, Pedestrian detection |
| 3 | Hamid Laga, Masayuki Nakajima |
A boosting approach to content-based 3D model retrieval.  |
GRAPHITE  |
2007 |
DBLP DOI BibTeX RDF |
3D model classification, 3D retrieval, best view selection, feature saliency, boosting |
| 3 | Emilio Corchado, Bruno Baruque, Hujun Yin |
Boosting Unsupervised Competitive Learning Ensembles.  |
ICANN  |
2007 |
DBLP DOI BibTeX RDF |
unsupervised learning, boosting, bagging, topology preserving mappings |
| 3 | Lawrence O. Hall, Robert E. Banfield, Kevin W. Bowyer, W. Philip Kegelmeyer |
Boosting Lite - Handling Larger Datasets and Slower Base Classifiers.  |
MCS  |
2007 |
DBLP DOI BibTeX RDF |
support vector machines, decision trees, boosting, classifier ensembles |
| 3 | Emna Bahri, Nicolas Nicoloyannis, Mondher Maddouri |
Improving Boosting by Exploiting Former Assumptions.  |
MCD  |
2007 |
DBLP DOI BibTeX RDF |
Data mining, Machine learning, Classification, convergence, Boosting, Recall |
| 3 | Jun Xu, Hang Li |
AdaRank: a boosting algorithm for information retrieval.  |
SIGIR  |
2007 |
DBLP DOI BibTeX RDF |
information retrieval, boosting, learning to rank |
| 3 | Geraldo L. B. Ramalho, Fátima N. S. de Medeiros |
Improving Reliability of Oil Spill Detection Systems Using Boosting for High-Level Feature Selection.  |
ICIAR  |
2007 |
DBLP DOI BibTeX RDF |
oil slick, neural network, feature selection, boosting, SAR image |
| 3 | Jing Dong, Xiaochuan Chen, Lei Guo, Tieniu Tan |
Fusion Based Blind Image Steganalysis by Boosting Feature Selection.  |
IWDW  |
2007 |
DBLP DOI BibTeX RDF |
Blind image steganalysis, boosting, fusion |
| 3 | A. B. M. Shawkat Ali, Yang Xiang |
Spam Classification Using Adaptive Boosting Algorithm.  |
ACIS-ICIS  |
2007 |
DBLP DOI BibTeX RDF |
Boosting algorithm, filtering, Spam |
| 3 | Yi Liu, Rong Jin, Anil K. Jain |
BoostCluster: boosting clustering by pairwise constraints.  |
KDD  |
2007 |
DBLP DOI BibTeX RDF |
semi-supervised learning, boosting, data clustering, pairwise constraints |
| 3 | Yanmin Sun, Yang Wang 0007, Andrew K. C. Wong |
Boosting an Associative Classifier.  |
IEEE Trans. Knowl. Data Eng.  |
2006 |
DBLP DOI BibTeX RDF |
Data mining, classification, boosting, pattern discovery, association mining, classifier design and evaluation |
| 3 | Andreas Opelt, Axel Pinz, Michael Fussenegger, Peter Auer |
Generic Object Recognition with Boosting.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2006 |
DBLP DOI BibTeX RDF |
Boosting, object categorization, object localization |
| 3 | Takafumi Kanamori, Takashi Takenouchi, Noboru Murata |
Geometrical Structure of Boosting Algorithm.  |
New Generation Comput.  |
2006 |
DBLP DOI BibTeX RDF |
Large-scale Learning Machine, Boosting, Statistical Learning Theory, Classification Problem |
| 3 | Jonggab Kil, Jie Gu, Chris H. Kim |
A high-speed variation-tolerant interconnect technique for sub threshold circuits using capacitive boosting.  |
ISLPED  |
2006 |
DBLP DOI BibTeX RDF |
capacitive boosting, sub-threshold circuit, clock skew, global interconnect, variation tolerance |
| 3 | Yuli Gao, Jianping Fan, Xiangyang Xue, Ramesh Jain |
Automatic image annotation by incorporating feature hierarchy and boosting to scale up SVM classifiers.  |
ACM Multimedia  |
2006 |
DBLP DOI BibTeX RDF |
hierarchical boosting, image annotation |
| 3 | György Szarvas, Richárd Farkas, András Kocsor |
A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms.  |
Discovery Science  |
2006 |
DBLP DOI BibTeX RDF |
machine learning, decision tree, Boosting, voting, Named Entity Recognition, C4.5, NER |
| 3 | Hakan Altinçay |
A dempster-shafer theoretic framework for boosting based ensemble design.  |
Pattern Anal. Appl.  |
2005 |
DBLP DOI BibTeX RDF |
Evidential pattern classification, Dynamic classifier combination, Sample neighborhood information, Boosting, Classifier ensembles |
| 3 | Fei Wang 0001, Changshui Zhang, Naijiang Lu |
Boosting GMM and Its Two Applications.  |
Multiple Classifier Systems  |
2005 |
DBLP DOI BibTeX RDF |
short-term traffic flow forecasting, boosting, GMM, cluster ensemble |
| 3 | Saharon Rosset |
Robust boosting and its relation to bagging.  |
KDD  |
2005 |
DBLP DOI BibTeX RDF |
robust fitting, boosting, bagging |
| 3 | Hongyu Guo, Herna L. Viktor |
Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach.  |
SIGKDD Explorations  |
2004 |
DBLP DOI BibTeX RDF |
data mining, boosting, ensembles of classifiers, imbalanced data sets |
| 3 | Fang Chu, Carlo Zaniolo |
Fast and Light Boosting for Adaptive Mining of Data Streams.  |
PAKDD  |
2004 |
DBLP DOI BibTeX RDF |
adaptive boosting ensembles, change detection, Stream data mining |
| 3 | Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers, Arnold W. M. Smeulders |
Boosting contextual information in content-based image retrieval.  |
Multimedia Information Retrieval  |
2004 |
DBLP DOI BibTeX RDF |
content-based image retrieval oject recognition, boosting, contextual information |
| 3 | Jinbo Bi, Tong Zhang, Kristin P. Bennett |
Column-generation boosting methods for mixture of kernels.  |
KDD  |
2004 |
DBLP DOI BibTeX RDF |
boosting, kernel methods, column generation |
| 3 | Adam R. Klivans, Rocco A. Servedio |
Boosting and Hard-Core Set Construction.  |
Machine Learning  |
2003 |
DBLP DOI BibTeX RDF |
hard core set construction, computational complexity, boosting |
| 3 | Philip M. Long, Vinsensius Berlian Vega SN |
Boosting and Microarray Data.  |
Machine Learning  |
2003 |
DBLP DOI BibTeX RDF |
classification, bioinformatics, supervised learning, boosting, gene expression data, microarray data |
| 3 | Simon Günter, Horst Bunke |
New Boosting Algorithms for Classification Problems with Large Number of Classes Applied to a Handwritten Word Recognition Task.  |
Multiple Classifier Systems  |
2003 |
DBLP DOI BibTeX RDF |
Ensemble Creation Method, Large Number of Classes, Hidden Markov Model (HMM), Handwriting Recognition, Boosting, Multiple Classifier System |
| 3 | Adam Kalai, Rocco A. Servedio |
Boosting in the presence of noise.  |
STOC  |
2003 |
DBLP DOI BibTeX RDF |
machine learning, boosting |
| 3 | Zhu Zhang, Jahna Otterbacher, Dragomir R. Radev |
Learning cross-document structural relationships using boosting.  |
CIKM  |
2003 |
DBLP DOI BibTeX RDF |
cross-document structure, classification, boosting, discourse analysis |
| 3 | Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Klaus-Robert Müller |
Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2002 |
DBLP DOI BibTeX RDF |
SVMs, unsupervised learning, Boosting, novelty detection, one-class classification |
| 3 | Marina Skurichina, Robert P. W. Duin |
Bagging, Boosting and the Random Subspace Method for Linear Classifiers.  |
Pattern Anal. Appl.  |
2002 |
DBLP DOI BibTeX RDF |
Training sample size, Boosting, Bagging, Combining classifiers, Random subspaces, Linear classifiers |
| 3 | Yan Liu 0002, Yiming Yang, Jaime G. Carbonell |
Boosting to correct inductive bias in text classification.  |
CIKM  |
2002 |
DBLP DOI BibTeX RDF |
inductive bias, machine learning, text classification, boosting |
| 3 | Aleksandar Lazarevic, Zoran Obradovic |
The distributed boosting algorithm.  |
KDD  |
2001 |
DBLP DOI BibTeX RDF |
Boosting, classifier ensembles, distributed 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 |
| 2 | Fatemeh Eslami, Mihai Sima |
Capacitive Boosting for FPGA Interconnection Networks.  |
FPL  |
2011 |
DBLP DOI BibTeX RDF |
capacitive boosting, nMOS pass transistor multiplexers, FPGA interconnection network |
| 2 | Liu Yang, Rong Jin, Lily B. Mummert, Rahul Sukthankar, Adam Goode, Bin Zheng, Steven C. H. Hoi, Mahadev Satyanarayanan |
A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2010 |
DBLP DOI BibTeX RDF |
Machine learning, image retrieval, boosting, distance metric learning |
| 2 | Sumanth Amarchinta, Dhireesha Kudithipudi |
Performance enhancement of subthreshold circuits using substrate biasing and charge-boosting buffers.  |
ACM Great Lakes Symposium on VLSI  |
2010 |
DBLP DOI BibTeX RDF |
charge-boosters, subthreshold design, biasing |
| 2 | Jun Wu, Zheng-Kui Lin, Mingyu Lu |
Asymmetric semi-supervised boosting for SVM active learning in CBIR.  |
CIVR  |
2010 |
DBLP DOI BibTeX RDF |
image retrieval, relevance feedback, active learning, semi-supervised learning, boosting |
| 2 | Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng |
Multi-task learning for boosting with application to web search ranking.  |
KDD  |
2010 |
DBLP DOI BibTeX RDF |
decision trees, web search, ranking, boosting, multi-task learning |
| 2 | Eric Koskinen, Matthew J. Parkinson, Maurice Herlihy |
Coarse-grained transactions.  |
POPL  |
2010 |
DBLP DOI BibTeX RDF |
coarse-grained transactions, movers, transactional boosting, transactional memory, abstract data-types, commutativity |
| 2 | Paulo Fernandes, Lucelene Lopes, Duncan Dubugras A. Ruiz |
The impact of random samples in ensemble classifiers.  |
SAC  |
2010 |
DBLP DOI BibTeX RDF |
accuracy comparison, machine learning, boosting, random samples, bagging, ensemble classifiers |
| 2 | Rinaldo Lima, Bernard Espinasse, Frederico Luiz Gonçalves de Freitas |
An adaptive information extraction system based on wrapper induction with POS tagging.  |
SAC  |
2010 |
DBLP DOI BibTeX RDF |
machine learning, information extraction, boosting, supervised classification, wrapper induction, POS tagging |
| 2 | Shenghua Bao, Bohai Yang, Ben Fei, Shengliang Xu, Zhong Su, Yong Yu |
Social Propagation: Boosting Social Annotations for Web Mining.  |
World Wide Web  |
2009 |
DBLP DOI BibTeX RDF |
sitemap-tree link, hyperlink, propagation, social annotations |
| 2 | Man-Hung Siu, Xi Yang, Herbert Gish |
Discriminatively Trained GMMs for Language Classification Using Boosting Methods.  |
IEEE Transactions on Audio, Speech & Language Processing  |
2009 |
DBLP DOI BibTeX RDF |
|
| 2 | Emna Bahri, Stéphane Lallich, Nicolas Nicoloyannis, Mondher Maddouri |
A Hybrid Approach of Boosting Against Noisy Data.  |
Mining Complex Data  |
2009 |
DBLP DOI BibTeX RDF |
|
| 2 | Lei Xiong, Duyan Bi, Xu Zhou, Shiping Ma |
Boosting Graph Embedding with Application to Facial Expression Recognition.  |
IAS  |
2009 |
DBLP DOI BibTeX RDF |
|
| 2 | Zhipeng Xie |
Boosting Local Naïve Bayesian Rules.  |
ISNN  |
2009 |
DBLP DOI BibTeX RDF |
|
| 2 | Kimmo Karhu, Andrea Botero, Sami Vihavainen, Tingan Tang, Matti Hämäläinen |
A digital ecosystem for boosting user-driven service business.  |
MEDES  |
2009 |
DBLP DOI BibTeX RDF |
service business, web services, web 2.0, bioinformatics, digital ecosystems, user-driven innovation |
| 2 | Chandan K. Reddy, Jin Hyeong Park |
Multi-resolution Boosting for Classification and Regression Problems.  |
PAKDD  |
2009 |
DBLP DOI BibTeX RDF |
|
| 2 | Goo Jun, Joydeep Ghosh |
Multi-class Boosting with Class Hierarchies.  |
MCS  |
2009 |
DBLP DOI BibTeX RDF |
|
| 2 | Thomas Hörnlein, Bernd Jähne |
Boosting Shift-Invariant Features.  |
DAGM-Symposium  |
2009 |
DBLP DOI BibTeX RDF |
|
| 2 | Hamoud I. Aljamaan, Mahmoud O. Elish |
An empirical study of bagging and boosting ensembles for identifying faulty classes in object-oriented software.  |
CIDM  |
2009 |
DBLP DOI BibTeX RDF |
|
| 2 | Balázs Kégl, Róbert Busa-Fekete |
Boosting products of base classifiers.  |
ICML  |
2009 |
DBLP DOI BibTeX RDF |
|
| 2 | Salma Essafi, Georg Langs, Nikos Paragios |
Left Ventricle Segmentation Using Diffusion Wavelets and Boosting.  |
MICCAI  |
2009 |
DBLP DOI BibTeX RDF |
|
| 2 | Pallavi Tiwari, Mark Rosen, Galen Reed, John Kurhanewicz, Anant Madabhushi |
Spectral Embedding Based Probabilistic Boosting Tree (ScEPTre): Classifying High Dimensional Heterogeneous Biomedical Data.  |
MICCAI  |
2009 |
DBLP DOI BibTeX RDF |
|
| 2 | Dominik Alexander Klein, Dirk Schulz, Simone Frintrop |
Boosting with a Joint Feature Pool from Different Sensors.  |
ICVS  |
2009 |
DBLP DOI BibTeX RDF |
|
| 2 | Bruno Baruque, Emilio Corchado, Aitor Mata, Juan M. Corchado |
Ensemble Methods for Boosting Visualization Models.  |
IWANN  |
2009 |
DBLP DOI BibTeX RDF |
unsupervised learning, boosting, bagging, topology preserving mappings |
| 2 | Kohei Hatano, Eiji Takimoto |
Linear Programming Boosting by Column and Row Generation.  |
Discovery Science  |
2009 |
DBLP DOI BibTeX RDF |
|
| 2 | Chenguang Zhu, Weizhu Chen, Zeyuan Allen Zhu, Gang Wang, Dong Wang, Zheng Chen |
A general magnitude-preserving boosting algorithm for search ranking.  |
CIKM  |
2009 |
DBLP DOI BibTeX RDF |
directed distance function (ddf), magnitude-preserving, pairwise-preference |
| 2 | Benjamin Quost, Thierry Denoeux |
Learning from data with uncertain labels by boosting credal classifiers.  |
KDD Workshop on Knowledge Discovery from Uncertain Data  |
2009 |
DBLP DOI BibTeX RDF |
theory of belief functions, theory of evidence, classification, uncertainty, AdaBoost, Dempster-Shafer theory, classifier combination |
| 2 | Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee |
Information theoretic regularization for semi-supervised boosting.  |
KDD  |
2009 |
DBLP DOI BibTeX RDF |
semi-supervised learning, ensemble |
| 2 | Jerry Ye, Jyh-Herng Chow, Jiang Chen, Zhaohui Zheng |
Stochastic gradient boosted distributed decision trees.  |
CIKM  |
2009 |
DBLP DOI BibTeX RDF |
decision trees, learning to rank, hadoop, mpi, distributed learning, web search ranking, gradient boosting |
| 2 | Aurelie C. Lozano, Naoki Abe, Yan Liu 0002, Saharon Rosset |
Grouped graphical Granger modeling methods for temporal causal modeling.  |
KDD  |
2009 |
DBLP DOI BibTeX RDF |
temporal causal modeling, variable group selection, boosting, graphical modeling, Granger causality |
| 2 | Eric Koskinen, Maurice Herlihy |
Brief announcement: concurrent non-commutative boosted transactions.  |
PODC  |
2009 |
DBLP DOI BibTeX RDF |
cyclic dependency, lazy recovery, transactional boosting, transactional memory, commutativity |
| 2 | Wei Gao, Haizhou Ai |
Face Gender Classification on Consumer Images in a Multiethnic Environment.  |
ICB  |
2009 |
DBLP DOI BibTeX RDF |
Boosting tree, multiethnic environment, gender classification |
| 2 | Xinzhu Yang, Bo Yuan, Wenhuang Liu |
An Empirical Study of the Convergence of RegionBoost.  |
ICIC  |
2009 |
DBLP DOI BibTeX RDF |
RegionBoost, Decision Stumps, Convergence, Boosting, kNN |
| 2 | Patchara Sutthiwan, Jingyu Ye, Yun Q. Shi |
An Enhanced Statistical Approach to Identifying Photorealistic Images.  |
IWDW  |
2009 |
DBLP DOI BibTeX RDF |
Moments of Characteristic Functions, Computer graphics classification, boosting |
| 2 | Shanshan Wu, Yanchang Zhao, Huaifeng Zhang, Chengqi Zhang, Longbing Cao, Hans Bohlscheid |
Debt Detection in Social Security by Adaptive Sequence Classification.  |
KSEM  |
2009 |
DBLP DOI BibTeX RDF |
adaptive sequence classification, boosting discriminative patterns, sequence classification |
| 2 | Andreas Zinnen, Christian Wojek, Bernt Schiele |
Multi Activity Recognition Based on Bodymodel-Derived Primitives.  |
LoCA  |
2009 |
DBLP DOI BibTeX RDF |
Boosting, Activity Recognition, Human-Body Model |
| 2 | Peijun Du, Wei Zhang, Hao Sun |
Multiple Classifier Combination for Hyperspectral Remote Sensing Image Classification.  |
MCS  |
2009 |
DBLP DOI BibTeX RDF |
hyperspectral remote sensing, boosting, bagging, classifier ensemble, evidence theory, Multiple classifier combination |
| 2 | Jamie Shotton, John M. Winn, Carsten Rother, Antonio Criminisi |
TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context.  |
International Journal of Computer Vision  |
2009 |
DBLP DOI BibTeX RDF |
Semantic image segmentation, Piecewise training, Segmentation, Context, Object recognition, Texture, Boosting, Layout, Conditional random field, Image understanding, Textons |
| 2 | Gerhard Tutz, Jan Ulbricht |
Penalized regression with correlation-based penalty.  |
Statistics and Computing  |
2009 |
DBLP DOI BibTeX RDF |
Correlation-based estimator, Penalization, Boosting, Variable selection, Lasso, Elastic net |
| 2 | Gustavo Carneiro, Bogdan Georgescu, Sara Good, Dorin Comaniciu |
Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree.  |
IEEE Trans. Med. Imaging  |
2008 |
DBLP DOI BibTeX RDF |
|
Displaying result #1 - #100 of 2131 (100 per page; Change: ) Pages: [ 1][ 2][ 3][ 4][ 5][ 6][ 7][ 8][ 9][ 10][ >>] |
|