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» Learning Partially Observable Deterministic Action Models
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FGR
2008
IEEE
156views Biometrics» more  FGR 2008»
13 years 9 months ago
Modelling human perception of static facial expressions
Data collected through a recent web-based survey show that the perception (i.e. labeling) of a human facial expression by a human observer is a subjective process, which results i...
Matteo Sorci, Jean-Philippe Thiran, J. Cruz, T. Ro...
INFOCOM
2012
IEEE
11 years 10 months ago
Approximately optimal adaptive learning in opportunistic spectrum access
—In this paper we develop an adaptive learning algorithm which is approximately optimal for an opportunistic spectrum access (OSA) problem with polynomial complexity. In this OSA...
Cem Tekin, Mingyan Liu
CONCUR
2006
Springer
13 years 9 months ago
Inference of Event-Recording Automata Using Timed Decision Trees
In regular inference, the problem is to infer a regular language, typically represented by a deterministic finite automaton (DFA) from answers to a finite set of membership querie...
Olga Grinchtein, Bengt Jonsson, Paul Pettersson
AAAI
2008
13 years 10 months ago
A Variance Analysis for POMDP Policy Evaluation
Partially Observable Markov Decision Processes have been studied widely as a model for decision making under uncertainty, and a number of methods have been developed to find the s...
Mahdi Milani Fard, Joelle Pineau, Peng Sun
NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 7 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...