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PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
14 years 9 days ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
AAAI
2012
11 years 10 months ago
Strategic Advice Provision in Repeated Human-Agent Interactions
This paper addresses the problem of automated advice provision in settings that involve repeated interactions between people and computer agents. This problem arises in many real ...
Amos Azaria, Zinovi Rabinovich, Sarit Kraus, Claud...
ICML
2006
IEEE
14 years 8 months ago
Cost-sensitive learning with conditional Markov networks
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
Prithviraj Sen, Lise Getoor
ATAL
2010
Springer
13 years 8 months ago
Evaluating directorial control in a character-centric interactive narrative framework
Interactive narrative allows the user to play a role in a story and interact with other characters controlled by the system. Directorial control is a procedure for dynamically tun...
Mei Si, Stacy C. Marsella, David V. Pynadath
SEMCO
2007
IEEE
14 years 2 months ago
Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
Dong Yu, Li Deng