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NIPS
2004
15 years 8 months ago
Experts in a Markov Decision Process
We consider an MDP setting in which the reward function is allowed to change during each time step of play (possibly in an adversarial manner), yet the dynamics remain fixed. Simi...
Eyal Even-Dar, Sham M. Kakade, Yishay Mansour
CEC
2010
IEEE
15 years 8 months ago
Principles of protein processing for a self-organising associative memory
The evolution of Artificial Intelligence has passed through many phases over the years, going from rigorous mathematical grounding to more intuitive bio-inspired approaches. Despit...
Omer Qadir, Jerry Liu, Jon Timmis, Gianluca Tempes...
VTC
2010
IEEE
109views Communications» more  VTC 2010»
15 years 5 months ago
Joint and Distributed Linear Precoding for Centralised and Decentralised Multicell Processing
— Linear precoding techniques are designed for both joint and distributed Multi-Cell Processing (MCP), where both centralised and decentralised Channel State Information (CSI) ex...
Rong Zhang, Lajos Hanzo
IJDMB
2011
85views more  IJDMB 2011»
15 years 1 months ago
Protein interaction detection in sentences via Gaussian Processes: a preliminary evaluation
: Classification methods are vital for efficient access of knowledge hidden in biomedical publications. Support vector machines (SVMs) are modern non-parametric deterministic clas...
Tamara Polajnar, Simon Rogers, Mark Girolami
CORR
2012
Springer
210views Education» more  CORR 2012»
14 years 2 months ago
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...
Vinayak Rao, Yee Whye Teh