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» Generalization Improvement in Multi-Objective Learning
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ICASSP
2008
IEEE
15 years 6 months ago
Discriminative learning for optimizing detection performance in spoken language recognition
We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee
IFIP12
2008
15 years 1 months ago
A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System
Sampling methods are a direct approach to tackle the problem of class imbalance. These methods sample a data set in order to alter the class distributions. Usually these methods ar...
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Mar...
88
Voted
FLAIRS
2003
15 years 1 months ago
Lessons Learned using CBR for Customer Support
Three CBR systems were created to improve customer support at General Electric Appliances. The first tool helped call takers answer customers’ questions by using a case base of ...
William Cheetham
ACL
2009
14 years 10 months ago
Phrase Clustering for Discriminative Learning
We present a simple and scalable algorithm for clustering tens of millions of phrases and use the resulting clusters as features in discriminative classifiers. To demonstrate the ...
Dekang Lin, Xiaoyun Wu
125
Voted
COLT
2010
Springer
14 years 10 months ago
Robust Selective Sampling from Single and Multiple Teachers
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...
Ofer Dekel, Claudio Gentile, Karthik Sridharan