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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 1301 occurrences of 757 keywords
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Results
Found 7600 publication records. Showing 7600 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
23 | Wenxin Jiang 0003 |
Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification. |
Multiple Classifier Systems |
2000 |
DBLP DOI BibTeX RDF |
|
23 | Tirdad Sowlati, Sifen Luo |
Bias boosting technique for a 1.9GHz class AB RF amplifier. |
ISLPED |
2000 |
DBLP DOI BibTeX RDF |
|
23 | Kinh Tieu, Paul A. Viola |
Boosting Image Retrieval. |
CVPR |
2000 |
DBLP DOI BibTeX RDF |
|
23 | Kai Ming Ting, Zijian Zheng |
Boosting Trees for Cost-Sensitive Classifications. |
ECML |
1998 |
DBLP DOI BibTeX RDF |
|
23 | 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 |
23 | Liu Yang 0001, Rong Jin 0001, 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 |
23 | Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang 0002, 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 |
23 | 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 |
23 | Bruno Baruque, Emilio Corchado, Aitor Mata, Juan M. Corchado |
Ensemble Methods for Boosting Visualization Models. |
IWANN (1) |
2009 |
DBLP DOI BibTeX RDF |
unsupervised learning, boosting, bagging, topology preserving mappings |
23 | Zhibo Guo, Yunyang Yan, Chunxia Zhao, Jingyu Yang 0001 |
HTF-Boosting Learning and Face Detection. |
PACIIA (1) |
2008 |
DBLP DOI BibTeX RDF |
HTF-Boosting, Face Detection, AdaBoost |
23 | Maurice Herlihy, Eric Koskinen |
Transactional boosting: a methodology for highly-concurrent transactional objects. |
PPoPP |
2008 |
DBLP DOI BibTeX RDF |
abstract locks, transactional boosting, transactional memory, commutativity, non-blocking algorithms |
23 | Lijuan Cai, Thomas Hofmann |
Text categorization by boosting automatically extracted concepts. |
SIGIR |
2003 |
DBLP DOI BibTeX RDF |
machine learning, classification, boosting, document categorization, lexical semantics, concept extraction |
23 | Omid Oliaei |
Oversampled gain-boosting. |
ISLPED |
2002 |
DBLP DOI BibTeX RDF |
MOS amplifier, gain boosting, gain enhancement, switched-capacitor, bootstrapping, ADC, DAC, OTA, sigma-delta |
23 | Raj D. Iyer, David D. Lewis, Robert E. Schapire, Yoram Singer, Amit Singhal 0001 |
Boosting for Document Routing. |
CIKM |
2000 |
DBLP DOI BibTeX RDF |
routing, ranking, supervised learning, boosting, text representation |
22 | Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer |
On Speeding Up the Learning Process of Neuro-fuzzy Ensembles Generated by the Adaboost Algorithm. |
Computer Recognition Systems 2 |
2008 |
DBLP DOI BibTeX RDF |
|
22 | Yi Wu 0001, Xiaofeng Tong, Yimin Zhang 0002, Hanqing Lu |
Boosted Interactively Distributed Particle Filter for automatic multi-object tracking. |
ICIP |
2008 |
DBLP DOI BibTeX RDF |
|
22 | José Luis Triviño-Rodriguez, Amparo Ruiz-Sepúlveda, Rafael Morales Bueno |
How an Ensemble Method Can Compute a Comprehensible Model. |
DaWaK |
2008 |
DBLP DOI BibTeX RDF |
|
22 | Meihong Zhu, Yong Shi 0001, Aihua Li, Peng Zhang 0001 |
A Bias-Variance Analysis of Multiple Criteria Linear Programming Classification Ensembles. |
Web Intelligence/IAT Workshops |
2008 |
DBLP DOI BibTeX RDF |
|
22 | Jianping Fan 0001, Hangzai Luo, Yuli Gao, Ramesh C. Jain |
Incorporating Concept Ontology for Hierarchical Video Classification, Annotation, and Visualization. |
IEEE Trans. Multim. |
2007 |
DBLP DOI BibTeX RDF |
|
22 | Alicia Fornés, Sergio Escalera, Josep Lladós 0001, Gemma Sánchez, Petia Radeva, Oriol Pujol |
Handwritten Symbol Recognition by a Boosted Blurred Shape Model with Error Correction. |
IbPRIA (1) |
2007 |
DBLP DOI BibTeX RDF |
|
22 | Daphna Weinshall, Lior Zamir |
Image Classification from Small Sample, with Distance Learning and Feature Selection. |
ISVC (2) |
2007 |
DBLP DOI BibTeX RDF |
Feature Selection, Distance Learning, L1 regularization, Small Sample |
22 | Feng Shao, Gang Chen 0001, Lihua Yu, Yijun Bei, Jinxiang Dong |
Accelerating Parent-Child Path Matching in XML. |
CSCWD |
2007 |
DBLP DOI BibTeX RDF |
|
22 | John P. Kaufhold, Roderic Collins, Anthony Hoogs, Pascale Rondot |
Recognition and Segmentation of Scene Content using Region-Based Classification. |
ICPR (1) |
2006 |
DBLP DOI BibTeX RDF |
|
22 | Jáchym Kolár, Elizabeth Shriberg, Yang Liu 0004 |
Using Prosody for Automatic Sentence Segmentation of Multi-party Meetings. |
TSD |
2006 |
DBLP DOI BibTeX RDF |
|
22 | Xiaoming Liu 0004, Jianwei Yin, Jinxiang Dong, Abdul Ghafoor Memon |
An Improved FloatBoost Algorithm for Naïve Bayes Text Classification. |
WAIM |
2005 |
DBLP DOI BibTeX RDF |
|
22 | Pei Wang, Young Kim, Jonathan R. Pollack, Robert Tibshirani |
Boosted PRIM with Application to Searching for Oncogenic Pathway of Lung Cancer. |
CSB |
2004 |
DBLP DOI BibTeX RDF |
|
22 | Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall |
Learning Distance Functions for Image Retrieval. |
CVPR (2) |
2004 |
DBLP DOI BibTeX RDF |
|
22 | Sébastien Marcel, Yann Rodriguez |
Biometric Face Authentication Using Pixel-Based Weak Classifiers. |
ECCV Workshop BioAW |
2004 |
DBLP DOI BibTeX RDF |
|
22 | Prem Melville, Raymond J. Mooney |
Diverse ensembles for active learning. |
ICML |
2004 |
DBLP DOI BibTeX RDF |
|
22 | Herna L. Viktor, Hongyu Guo |
Multiple Classifier Prediction Improvements against Imbalanced Datasets through Added Synthetic Examples. |
SSPR/SPR |
2004 |
DBLP DOI BibTeX RDF |
|
22 | Shie Mannor, Ron Meir, Tong Zhang 0001 |
The Consistency of Greedy Algorithms for Classification. |
COLT |
2002 |
DBLP DOI BibTeX RDF |
|
22 | Terry Windeatt, Gholamreza Ardeshir |
An Empirical Comparison of Pruning Methods for Ensemble Classifiers. |
IDA |
2001 |
DBLP DOI BibTeX RDF |
|
22 | Günther Eibl, Karl Peter Pfeiffer |
Analysis of the Performance of AdaBoost.M2 for the Simulated Digit-Recognition-Example. |
ECML |
2001 |
DBLP DOI BibTeX RDF |
|
22 | Bernhard Pfahringer, Geoffrey Holmes 0001, Richard Kirkby |
Optimizing the Induction of Alternating Decision Trees. |
PAKDD |
2001 |
DBLP DOI BibTeX RDF |
|
22 | Kiyoshi Nikawa, Shoji Inoue, Kazuyuki Morimoto, Shinya Sone |
Failure Analysis Case Studies Using the IR-OBIRCH (Infrared Optical Beam Induced Resistance CHange) Method. |
Asian Test Symposium |
1999 |
DBLP DOI BibTeX RDF |
|
22 | Zijian Zheng, Boon Toh Low |
Classifying Unseen Cases with Many Missing Values. |
PAKDD |
1999 |
DBLP DOI BibTeX RDF |
|
22 | 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 |
22 | 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 |
22 | Gerhard Tutz 0001, Jan Ulbricht |
Penalized regression with correlation-based penalty. |
Stat. Comput. |
2009 |
DBLP DOI BibTeX RDF |
Correlation-based estimator, Penalization, Boosting, Variable selection, Lasso, Elastic net |
22 | 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. |
Int. J. Comput. Vis. |
2009 |
DBLP DOI BibTeX RDF |
Semantic image segmentation, Piecewise training, Segmentation, Context, Object recognition, Texture, Boosting, Layout, Conditional random field, Image understanding, Textons |
22 | 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 |
22 | 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 |
22 | 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 |
22 | Xinzhu Yang, Bo Yuan 0003, Wenhuang Liu |
An Empirical Study of the Convergence of RegionBoost. |
ICIC (2) |
2009 |
DBLP DOI BibTeX RDF |
RegionBoost, Decision Stumps, Convergence, Boosting, kNN |
22 | Patchara Sutthiwan, Jingyu Ye, Yun Q. Shi 0001 |
An Enhanced Statistical Approach to Identifying Photorealistic Images. |
IWDW |
2009 |
DBLP DOI BibTeX RDF |
Moments of Characteristic Functions, Computer graphics classification, boosting |
22 | 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 |
22 | 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 |
22 | Aharon Bar-Hillel, Daphna Weinshall |
Efficient Learning of Relational Object Class Models. |
Int. J. Comput. Vis. |
2008 |
DBLP DOI BibTeX RDF |
Object class recognition, Boosting, Generative models, Weakly supervised learning, Object localization |
22 | Andreas Opelt, Axel Pinz, Andrew Zisserman |
Learning an Alphabet of Shape and Appearance for Multi-Class Object Detection. |
Int. J. Comput. Vis. |
2008 |
DBLP DOI BibTeX RDF |
Generic object recognition, Category representation, Visual alphabet, Boosting, Object categorization |
22 | S. Charles Brubaker, Jianxin Wu 0001, Jie Sun 0004, Matthew D. Mullin, James M. Rehg |
On the Design of Cascades of Boosted Ensembles for Face Detection. |
Int. J. Comput. Vis. |
2008 |
DBLP DOI BibTeX RDF |
Face detection, Boosting, Cascade classifier |
22 | Jin Zhang, Xueqi Cheng, Gaowei Wu, Hongbo Xu |
AdaSum: an adaptive model for summarization. |
CIKM |
2008 |
DBLP DOI BibTeX RDF |
adasum, topic representation, topic-oriented summarization, boosting |
22 | Nguyen Dang Binh, Thuy Thi Nguyen |
Automatic Database Creation and Object's Model Learning. |
PKAW |
2008 |
DBLP DOI BibTeX RDF |
Database creation, object’s model learning, online boosting, autonomous learning, pattern recognition, object detection |
22 | Rong Jin 0001, Hamed Valizadegan, Hang Li 0001 |
Ranking refinement and its application to information retrieval. |
WWW |
2008 |
DBLP DOI BibTeX RDF |
background information, boosting, incremental learning, learning to rank |
22 | Erez Berkovich, Hillel Pratt, Moshe Gur |
Face Recognition with Biologically Motivated Boosted Features. |
ICVW |
2008 |
DBLP DOI BibTeX RDF |
Biologically Motivated Image Features, Pseudo Quadratic Discriminant Classifier (PQDC), Face Recognition, Boosting |
22 | Mahmood Akhtar, Eliathamby Ambikairajah, Julien Epps |
Digital Signal Processing Techniques for Gene Finding in Eukaryotes. |
ICISP |
2008 |
DBLP DOI BibTeX RDF |
signal boosting, discrete Fourier transforms, DNA, periodicity |
22 | Hiroto Saigo, Nicole Krämer 0002, Koji Tsuda |
Partial least squares regression for graph mining. |
KDD |
2008 |
DBLP DOI BibTeX RDF |
graph boosting, partial least squares regression, graph mining, chemoinformatics |
22 | Ke Zhou 0002, Gui-Rong Xue, Hongyuan Zha, Yong Yu 0001 |
Learning to rank with ties. |
SIGIR |
2008 |
DBLP DOI BibTeX RDF |
functional gradient descent, machine learning, ranking function, preference learning, ties, paired comparison, gradient boosting |
22 | Kevin Duh, Katrin Kirchhoff |
Learning to rank with partially-labeled data. |
SIGIR |
2008 |
DBLP DOI BibTeX RDF |
information retrieval, boosting, learning to rank, kernel principal components analysis, transductive learning |
22 | Paolo Ferragina, Giovanni Manzini, Veli Mäkinen, Gonzalo Navarro 0001 |
Compressed representations of sequences and full-text indexes. |
ACM Trans. Algorithms |
2007 |
DBLP DOI BibTeX RDF |
compression boosting, entropy, text compression, Text indexing, Burrows-Wheeler transform, rank and select, wavelet tree |
22 | Jaume Amores, Nicu Sebe, Petia Radeva |
Context-Based Object-Class Recognition and Retrieval by Generalized Correlograms. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2007 |
DBLP DOI BibTeX RDF |
object recognition, retrieval, boosting, contextual information, spatial pattern |
22 | Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer |
A Comparison of Decision Tree Ensemble Creation Techniques. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2007 |
DBLP DOI BibTeX RDF |
performance evaluation, boosting, bagging, Classifier ensembles, random forests, random subspaces |
22 | Chang Huang, Haizhou Ai, Yuan Li 0022, Shihong Lao |
High-Performance Rotation Invariant Multiview Face Detection. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2007 |
DBLP DOI BibTeX RDF |
vector boosting, granular feature, face detection, Pattern classification, AdaBoost, rotation invariant |
22 | Shiliang Sun |
Ensemble Learning Methods for Classifying EEG Signals. |
MCS |
2007 |
DBLP DOI BibTeX RDF |
boosting, ensemble learning, bagging, random subspace, EEG signal classification |
22 | Hung Lai, Fayin Li, Harry Wechsler |
Robust Face Recognition Strategies Using Feed-Forward Architectures and Parts. |
AMFG |
2007 |
DBLP DOI BibTeX RDF |
adaptive and robust correlation filters (ARCF), disguise, holistic, recognition-by-parts, weak learners, face recognition, biometrics, configural, occlusion, boosting, transduction, feed-forward, strangeness |
22 | Abdenour Hadid, Matti Pietikäinen, Stan Z. Li |
Learning Personal Specific Facial Dynamics for Face Recognition from Videos. |
AMFG |
2007 |
DBLP DOI BibTeX RDF |
Facial Dynamics, Face Recognition, Boosting, Local Binary Patterns |
22 | Franz Leberl, Horst Bischof, Helmut Grabner, Stefan Kluckner |
Recognizing cars in aerial imagery to improve orthophotos. |
GIS |
2007 |
DBLP DOI BibTeX RDF |
car detection, object recognition, boosting, online learning, semantic information, aerial images, 3d city models |
22 | Youjip Won, Hyungkyu Chang, Jaemin Ryu, Yongdai Kim, Junseok Shim |
Intelligent storage: Cross-layer optimization for soft real-time workload. |
ACM Trans. Storage |
2006 |
DBLP DOI BibTeX RDF |
machine learning, multimedia, autonomic computing, file system, boosting, storage, Intelligence, cross layer optimization |
22 | Hangzai Luo, Jianping Fan 0001 |
Building concept ontology for medical video annotation. |
ACM Multimedia |
2006 |
DBLP DOI BibTeX RDF |
hierarchical video classification, multi-task boosting, concept ontology |
22 | Diego Garat |
Shallow Parsing Based on Comma Values. |
IBERAMIA-SBIA |
2006 |
DBLP DOI BibTeX RDF |
decision trees, boosting, shallow parsing, punctuation |
22 | W. John Wilbur, Lana Yeganova, Won Kim 0003 |
The Synergy Between PAV and AdaBoost. |
Mach. Learn. |
2005 |
DBLP DOI BibTeX RDF |
convergence, boosting, k nearest neighbors, document classification, isotonic regression |
22 | Zhihong Zeng, ZhenQiu Zhang, Brian Pianfetti, Jilin Tu, Thomas S. Huang |
Audio-visual affect recognition in activation-evaluation space. |
ICME |
2005 |
DBLP DOI BibTeX RDF |
bimodal affect recognition, audio-visual affect recognition, psychological research, activation-evaluation space, Fisher boosting learning algorithm, human-computer interaction, HCI |
22 | Chia Huey Ooi, Madhu Chetty |
Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data. |
PAKDD |
2005 |
DBLP DOI BibTeX RDF |
boosting, microarray, tumor classification, Arcing |
22 | Lalit Wangikar, Vineet Agrwal, Vivek Gupta |
KDD physics task: discussion of modeling approaches. |
SIGKDD Explor. |
2004 |
DBLP DOI BibTeX RDF |
TreeNet, stochastic gradient boosting, logistic regression, MARS, KDD Cup |
22 | Nicolò Cesa-Bianchi, Gábor Lugosi |
Potential-Based Algorithms in On-Line Prediction and Game Theory. |
Mach. Learn. |
2003 |
DBLP DOI BibTeX RDF |
universal prediction, Blackwell's strategy, weighted average predictors, internal regret, boosting, on-line learning, perceptron algorithm |
22 | Taghi M. Khoshgoftaar, Erik Geleyn, Laurent A. Nguyen |
Empirical Case Studies of Combining Software Quality Classification Models. |
QSIC |
2003 |
DBLP DOI BibTeX RDF |
Decision Stumps, combined decision, software quality, Boosting, Bagging, C4.5 |
22 | Eugene M. Kleinberg |
A Mathematically Rigorous Foundation for Supervised Learning. |
Multiple Classifier Systems |
2000 |
DBLP DOI BibTeX RDF |
stochastic discrimination, machine learning, pattern recognition, boosting, classification algorithms, sd |
22 | Sholom M. Weiss, Nitin Indurkhya |
Decision-Rule Solutions for Data Mining with Missing Values. |
IBERAMIA-SBIA |
2000 |
DBLP DOI BibTeX RDF |
decision rule induction, boosting |
18 | M. Jishnu Sai, Pratiksha Chettri, Ranjit Panigrahi, Amik Garg, Akash Kumar Bhoi, Paolo Barsocchi |
An Ensemble of Light Gradient Boosting Machine and Adaptive Boosting for Prediction of Type-2 Diabetes. |
Int. J. Comput. Intell. Syst. |
2023 |
DBLP DOI BibTeX RDF |
|
18 | Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng 0001, Liang Wang 0047, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Wei Zhang 0189 |
Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting. |
CIKM |
2023 |
DBLP DOI BibTeX RDF |
|
18 | Shuhao Shi, Kai Qiao, Shuai Yang, Linyuan Wang 0001, Jian Chen 0025, Bin Yan 0002 |
Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification. |
Frontiers Neurorobotics |
2021 |
DBLP DOI BibTeX RDF |
|
18 | Yang Liu 0118, Zhuo Ma, Ximeng Liu, Siqi Ma, Surya Nepal, Robert H. Deng, Kui Ren 0001 |
Boosting Privately: Federated Extreme Gradient Boosting for Mobile Crowdsensing. |
ICDCS |
2020 |
DBLP DOI BibTeX RDF |
|
18 | Yang Liu 0118, Zhuo Ma, Ximeng Liu, Siqi Ma, Surya Nepal, Robert H. Deng |
Boosting Privately: Privacy-Preserving Federated Extreme Boosting for Mobile Crowdsensing. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
18 | Mérième Bouhandi, Florian Boudin, Ygor Gallina |
DeFT 2019 : Auto-encodeurs, Gradient Boosting et combinaisons de modèles pour l'identification automatique de mots-clés. Participation de l'équipe TALN du LS2N (Autoencoders, gradient boosting and ensemble systems for automatic keyphrase assignment : The LS2N team participation's in the 2019 edition of DeFT). |
PFIA (Défi Fouille de Textes) |
2019 |
DBLP BibTeX RDF |
|
18 | Tobias Hepp |
Erweiterung inferenzstatistischer Fähigkeiten modellbasierter Gradient-Boosting Algorithmen (Extending the inferential capabilities of model-based gradient boosting algorithms) (PDF / PS) |
|
2019 |
RDF |
|
18 | Jiawei Jiang, Bin Cui 0001, Ce Zhang 0001, Fangcheng Fu |
DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions. |
SIGMOD Conference |
2018 |
DBLP DOI BibTeX RDF |
|
18 | Anil Goyal |
Learning a Multiview Weighted Majority Vote Classifier : Using PAC-Bayesian Theory and Boosting. (Apprentissage de vote de majorité pour la classification multivue : Utilisation de la théorie PAC-Bayésienne et du boosting). |
|
2018 |
RDF |
|
18 | Ehwa Yang, Jeonghwan Gwak, Moongu Jeon |
Conditional Random Field (CRF)-Boosting: Constructing a Robust Online Hybrid Boosting Multiple Object Tracker Facilitated by CRF Learning. |
Sensors |
2017 |
DBLP DOI BibTeX RDF |
|
18 | Sidahmed Benabderrahmane |
Combining boosting machine learning and swarm intelligence for real time object detection and tracking: towards new meta-heuristics boosting classifiers. |
Int. J. Intell. Robotics Appl. |
2017 |
DBLP DOI BibTeX RDF |
|
18 | Zhiwen Liu, Shan Li 0001, Weihong Deng |
Boosting-POOF: Boosting Part Based One vs One Feature for Facial Expression Recognition in the Wild. |
FG |
2017 |
DBLP DOI BibTeX RDF |
|
18 | Junlong Zhao |
General Sparse Boosting: Improving Feature Selection of L2 Boosting by Correlation-Based Penalty Family. |
Commun. Stat. Simul. Comput. |
2015 |
DBLP DOI BibTeX RDF |
|
18 | Arne Militzer |
Boosting Methods for Automatic Segmentation of Focal Liver Lesions (Boosting-Verfahren zur automatischen Segmentierung fokaler Leberläsionen) (PDF / PS) |
|
2015 |
RDF |
|
18 | Rémi Foucard |
Fusion multi-niveaux par boosting pour le tagging automatique. (Multi-level fusion by boosting for automatic tagging). |
|
2013 |
RDF |
|
18 | Mohammad Reza Yousefi, Thomas M. Breuel |
Gated Boosting: Efficient Classifier Boosting and Combining. |
KI |
2012 |
DBLP DOI BibTeX RDF |
|
18 | Claudia Henry, Richard Nock, Frank Nielsen |
Real Boosting a la Carte with an Application to Boosting Oblique Decision Tree. |
IJCAI |
2007 |
DBLP BibTeX RDF |
|
18 | Rong Zhang 0003, Alexander I. Rudnicky |
Comparative study of boosting and non-boosting training for constructing ensembles of acoustic models. |
INTERSPEECH |
2003 |
DBLP DOI BibTeX RDF |
|
16 | 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 |
16 | Shenghua Bao, Bohai Yang, Ben Fei, Shengliang Xu, Zhong Su, Yong Yu 0001 |
Social Propagation: Boosting Social Annotations for Web Mining. |
World Wide Web |
2009 |
DBLP DOI BibTeX RDF |
sitemap-tree link, hyperlink, propagation, social annotations |
16 | Kohei Hatano, Eiji Takimoto |
Linear Programming Boosting by Column and Row Generation. |
Discovery Science |
2009 |
DBLP DOI BibTeX RDF |
|
16 | Goo Jun, Joydeep Ghosh |
Multi-class Boosting with Class Hierarchies. |
MCS |
2009 |
DBLP DOI BibTeX RDF |
|
16 | 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 |
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