Sciweavers

1407 search results - page 69 / 282
» Learning Abstract Scheduling Models
Sort
View
ISMIS
2005
Springer
15 years 3 months ago
Learning the Daily Model of Network Traffic
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
Costantina Caruso, Donato Malerba, Davide Papagni
AROBOTS
2011
14 years 5 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
DAWAK
2010
Springer
14 years 10 months ago
Modelling Complex Data by Learning Which Variable to Construct
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...
Françoise Fessant, Aurélie Le Cam, M...
NN
2008
Springer
169views Neural Networks» more  NN 2008»
14 years 10 months ago
Modeling a flexible representation machinery of human concept learning
dely acknowledged that categorically organized abstract knowledge plays a significant role in high-order human cognition. Yet, there are many unknown issues about the nature of ho...
Toshihiko Matsuka, Yasuaki Sakamoto, Arieta Chouch...
ATAL
1999
Springer
15 years 2 months ago
Incorporating Uncertainty in Agent Commitments
Abstract. Commitments play a central role in multi-agent coordination. However, they are inherently uncertain and it is important to take these uncertainties into account during pl...
Ping Xuan, Victor R. Lesser