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» Finite State Transducers Approximating Hidden Markov Models
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ICML
2008
IEEE
15 years 11 months ago
An HDP-HMM for systems with state persistence
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
99
Voted
ECCV
2006
Springer
16 years 3 days ago
Efficient Belief Propagation with Learned Higher-Order Markov Random Fields
Belief propagation (BP) has become widely used for low-level vision problems and various inference techniques have been proposed for loopy graphs. These methods typically rely on a...
Xiangyang Lan, Stefan Roth, Daniel P. Huttenlocher...
89
Voted
ETRICS
2006
15 years 1 months ago
On the Use of Word Networks to Mimicry Attack Detection
Intrusion detection aims at raising an alarm any time the security of an IT system gets compromised. Though highly successful, Intrusion Detection Systems are all susceptible of mi...
Fernando Godínez, Dieter Hutter, Raul Monro...
CORR
2010
Springer
123views Education» more  CORR 2010»
14 years 5 months ago
Equilibria of Dynamic Games with Many Players: Existence, Approximation, and Market Structure
In this paper we study stochastic dynamic games with many players that are relevant for a wide range of social, economic, and engineering applications. The standard solution conce...
Sachin Adlakha, Ramesh Johari, Gabriel Y. Weintrau...
103
Voted
NIPS
2007
14 years 11 months ago
Bayes-Adaptive POMDPs
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...