Search results for "boosting"

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