Sciweavers

246 search results - page 37 / 50
» Approximate Predictive Representations of Partially Observab...
Sort
View
CSL
2010
Springer
13 years 7 months ago
Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems
This paper describes a statistically motivated framework for performing real-time dialogue state updates and policy learning in a spoken dialogue system. The framework is based on...
Blaise Thomson, Steve Young
STOC
2005
ACM
129views Algorithms» more  STOC 2005»
14 years 8 months ago
Learning with attribute costs
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
Haim Kaplan, Eyal Kushilevitz, Yishay Mansour
IJON
1998
158views more  IJON 1998»
13 years 7 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
ECRTS
2008
IEEE
14 years 2 months ago
Temporal Analysis for Adapting Concurrent Applications to Embedded Systems
Embedded services and applications that interact with the real world often, over time, need to run on different kinds of hardware (low-cost microcontrollers to powerful multicore ...
Sibin Mohan, Johannes Helander
DEXA
2003
Springer
147views Database» more  DEXA 2003»
14 years 28 days ago
Context-Aware Data Mining Framework for Wireless Medical Application
Abstract. Data mining, which aims at extracting interesting information from large collections of data, has been widely used as an effective decision making tool. Mining the datas...
Pravin Vajirkar, Sachin Singh, Yugyung Lee