159 search results - page 1 / 32 » Incremental One-Class Learning with Bounded Computational Co... |
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
PEPM
2009
ACM
14 years 1 months ago
2009
ACM
Many applications need to respond to incremental modifications to data. Being incremental, such modification often require incremental modifications to the output, making it po...
AAAI
1997
13 years 6 months ago
1997
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
CI
2005
13 years 4 months ago
2005
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...