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IROS
2009
IEEE
206views Robotics» more  IROS 2009»
15 years 4 months ago
Bayesian reinforcement learning in continuous POMDPs with gaussian processes
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
Patrick Dallaire, Camille Besse, Stéphane R...
COMPSEC
2006
132views more  COMPSEC 2006»
14 years 9 months ago
Tightening the net: A review of current and next generation spam filtering tools
This paper provides an overview of current and potential future spam filtering approaches. We examine the problems spam introduces, what spam is and how we can measure it. The pap...
James Carpinter, Ray Hunt
AUTOMATICA
2002
93views more  AUTOMATICA 2002»
14 years 9 months ago
Hybrid state estimation: a target tracking application
In this paper we present a framework in which the general hybrid filtering or state estimation problem can be formulated. The problem of joint tracking and classification can be f...
Yvo Boers, Hans Driessen
CORR
2000
Springer
71views Education» more  CORR 2000»
14 years 9 months ago
An evaluation of Naive Bayesian anti-spam filtering
It has recently been argued that a Naive Bayesian classifier can be used to filter unsolicited bulk e-mail ("spam"). We conduct a thorough evaluation of this proposal on...
Ion Androutsopoulos, John Koutsias, Konstantinos C...
ICPR
2004
IEEE
15 years 10 months ago
Switching Particle Filters for Efficient Real-time Visual Tracking
Particle filtering is an approach to Bayesian estimation of intractable posterior distributions from time series signals distributed by non-Gaussian noise. A couple of variant par...
Kenji Doya, Shin Ishii, Takashi Bando, Tomohiro Sh...