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112
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ICML
2008
IEEE
16 years 1 months ago
Beam sampling for the infinite hidden Markov model
The infinite hidden Markov model is a nonparametric extension of the widely used hidden Markov model. Our paper introduces a new inference algorithm for the infinite Hidden Markov...
Jurgen Van Gael, Yunus Saatci, Yee Whye Teh, Zoubi...
ICML
2006
IEEE
16 years 1 months ago
PAC model-free reinforcement learning
For a Markov Decision Process with finite state (size S) and action spaces (size A per state), we propose a new algorithm--Delayed Q-Learning. We prove it is PAC, achieving near o...
Alexander L. Strehl, Lihong Li, Eric Wiewiora, Joh...
89
Voted
ALT
2010
Springer
15 years 2 months ago
Towards General Algorithms for Grammatical Inference
Many algorithms for grammatical inference can be viewed as instances of a more general algorithm which maintains a set of primitive elements, which distributionally define sets of ...
Alexander Clark
IOLTS
2009
IEEE
231views Hardware» more  IOLTS 2009»
15 years 7 months ago
Designing fault tolerant FSM by nano-PLA
— The paper deals with designing fault tolerant finite state machines (FSMs) by nanoelectronic programmable logic arrays (PLAs). Two main critical parameters of the fault toleran...
Samary Baranov, Ilya Levin, Osnat Keren, Mark G. K...
88
Voted
ICECCS
1998
IEEE
110views Hardware» more  ICECCS 1998»
15 years 4 months ago
Risk Assessment and Integrity in System Design
All systems, regardless of how carefully they have been constructed, suffer failures. This paper focuses on developing a formal understanding of failure with respect to system imp...
Raymond Berg, Victor L. Winter