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ALT
2006
Springer
16 years 3 months ago
Probabilistic Generalization of Simple Grammars and Its Application to Reinforcement Learning
Abstract. Recently, some non-regular subclasses of context-free grammars have been found to be efficiently learnable from positive data. In order to use these efficient algorithms ...
Takeshi Shibata, Ryo Yoshinaka, Takashi Chikayama
ICASSP
2008
IEEE
16 years 1 months ago
Bayesian update of dialogue state for robust dialogue systems
This paper presents a new framework for accumulating beliefs in spoken dialogue systems. The technique is based on updating a Bayesian Network that represents the underlying state...
Blaise Thomson, Jost Schatzmann, Steve Young
EXACT
2008
15 years 9 months ago
Integrating Probabilistic and Knowledge-Based Systems for Explanation Generation
An important requirement for intelligent assistants is to have an explanation generation mechanism, so that the trainee has a better understanding of the recommended actions and ca...
Francisco Elizalde, Luis Enrique Sucar, Julieta No...
CVPR
2012
IEEE
13 years 9 months ago
RALF: A reinforced active learning formulation for object class recognition
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Sandra Ebert, Mario Fritz, Bernt Schiele
ICIP
2001
IEEE
16 years 8 months ago
A new basis selection paradigm for wavelet packet image coding
In this paper, work on a new wavelet packet basis selection paradigm is reported which emphasizes the crucial role of quantization strategy being used. This paradigm is coupled wi...
François G. Meyer, Nasir Rajpoot, Roland G....