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» Boosting strategy for classification
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SIGIR
2010
ACM
14 years 10 months ago
Temporally-aware algorithms for document classification
Automatic Document Classification (ADC) is still one of the major information retrieval problems. It usually employs a supervised learning strategy, where we first build a classif...
Thiago Salles, Leonardo C. da Rocha, Gisele L. Pap...
ICCV
2009
IEEE
16 years 8 months ago
Weakly supervised discriminative localization and classification: a joint learning process
Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first ...
Minh Hoai Nguyen, Lorenzo Torresani, Fernando de l...
SIGIR
2005
ACM
15 years 8 months ago
A phonotactic-semantic paradigm for automatic spoken document classification
We demonstrate a phonotactic-semantic paradigm for spoken document categorization. In this framework, we define a set of acoustic words instead of lexical words to represent acous...
Bin Ma, Haizhou Li
AI
2007
Springer
15 years 7 months ago
Pattern Classification in No-Limit Poker: A Head-Start Evolutionary Approach
We have constructed a poker classification system which makes informed betting decisions based upon three defining features extracted while playing poker: hand value, risk, and agg...
Brien Beattie, Garrett Nicolai, David Gerhard, Rob...
NIPS
2008
15 years 4 months ago
On the Efficient Minimization of Classification Calibrated Surrogates
Bartlett et al (2006) recently proved that a ground condition for convex surrogates, classification calibration, ties up the minimization of the surrogates and classification risk...
Richard Nock, Frank Nielsen