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ECML
2006
Springer
15 years 6 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
119
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WECWIS
2003
IEEE
120views ECommerce» more  WECWIS 2003»
15 years 8 months ago
Reinforcement Learning Applications in Dynamic Pricing of Retail Markets
In this paper, we investigate the use of reinforcement learning (RL) techniques to the problem of determining dynamic prices in an electronic retail market. As representative mode...
C. V. L. Raju, Y. Narahari, K. Ravikumar
AFRIGRAPH
2001
ACM
15 years 6 months ago
A gesture processing framework for multimodal interaction in virtual reality
This article presents a gesture detection and analysis framework for modelling multimodal interactions. It is particulary designed for its use in Virtual Reality (VR) applications...
Marc Erich Latoschik
DIGRA
2005
Springer
15 years 8 months ago
Towards the unification of intuitive and formal game concepts with applications to computer chess
A general technique is proposed to deal with the formalization of intuition and human-oriented concepts in competition thinking games like chess, such as defensive play, attack, t...
Ariel Arbiser
ICML
2008
IEEE
16 years 3 months ago
Adaptive p-posterior mixture-model kernels for multiple instance learning
In multiple instance learning (MIL), how the instances determine the bag-labels is an essential issue, both algorithmically and intrinsically. In this paper, we show that the mech...
Hua-Yan Wang, Qiang Yang, Hongbin Zha