Keyword : boosting


Weighting Estimation Methods for Opponents' Utility Functions Using Boosting in Multi-Time Negotiations
Takaki MATSUNE Katsuhide FUJITA 
Publication:   
Publication Date: 2018/10/01
Vol. E101-D  No. 10 ; pp. 2474-2484
Type of Manuscript:  PAPER
Category: Information Network
Keyword: 
automated multi-issue negotiationautomated negotiating agents competitionmulti-time negotiationmultilateral negotiationboosting
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Set-Based Boosting for Instance-Level Transfer on Multi-Classification
Haibo YIN Jun-an YANG Wei WANG Hui LIU 
Publication:   
Publication Date: 2017/05/01
Vol. E100-D  No. 5 ; pp. 1079-1086
Type of Manuscript:  PAPER
Category: Pattern Recognition
Keyword: 
transfer learningboostingmulti-classificationHamming lossextreme learning machine
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Winning the Kaggle Algorithmic Trading Challenge with the Composition of Many Models and Feature Engineering
Ildefons MAGRANS DE ABRIL Masashi SUGIYAMA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2013/03/01
Vol. E96-D  No. 3 ; pp. 742-745
Type of Manuscript:  LETTER
Category: Artificial Intelligence, Data Mining
Keyword: 
Kaggle challengemodel architectureboostingfeature selectionhigh frequency tradingliquidity shockmaximal information coefficient
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Partial Derivative Guidance for Weak Classifier Mining in Pedestrian Detection
Chang LIU Guijin WANG Chunxiao LIU Xinggang LIN 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2011/08/01
Vol. E94-D  No. 8 ; pp. 1721-1724
Type of Manuscript:  LETTER
Category: Image Recognition, Computer Vision
Keyword: 
pedestrian detectionpartial derivativeclassifier miningHOGboosting
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Object Tracking by Maximizing Classification Score of Detector Based on Rectangle Features
Akinori HIDAKA Kenji NISHIDA Takio KURITA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2008/08/01
Vol. E91-D  No. 8 ; pp. 2163-2170
Type of Manuscript:  PAPER
Category: Image Recognition, Computer Vision
Keyword: 
object detectiontrackingsupport vector trackerrectangle featuresboosting
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A Learning Algorithm of Boosting Kernel Discriminant Analysis for Pattern Recognition
Shinji KITA Seiichi OZAWA Satoshi MAEKAWA Shigeo ABE 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2007/11/01
Vol. E90-D  No. 11 ; pp. 1853-1863
Type of Manuscript:  PAPER
Category: Biocybernetics, Neurocomputing
Keyword: 
boostingkernel methodskernel discriminant analysispattern classificationneural networksfeature selection
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