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ICML
2005
IEEE
16 years 7 months ago
New d-separation identification results for learning continuous latent variable models
Learning the structure of graphical models is an important task, but one of considerable difficulty when latent variables are involved. Because conditional independences using hid...
Ricardo Silva, Richard Scheines
WWW
2005
ACM
16 years 7 months ago
A model for short-term content adaptation
This paper proposes a model for short-term content adaptation whose aim is to satisfy the contingent needs of users by adjusting the information a web-application provides on the ...
Marco Benini, Alberto Trombetta, Michela Acquaviva
WOSP
2004
ACM
15 years 11 months ago
Expressing performance requirements using regular expressions to specify stochastic probes over process algebra models
This paper describes how soft performance bounds can be expressed for software systems using stochastic probes over stochastic process algebra models. These stochastic probes are ...
Ashok Argent-Katwala, Jeremy T. Bradley, Nicholas ...
ROBOCUP
2001
Springer
126views Robotics» more  ROBOCUP 2001»
15 years 10 months ago
Recognizing Probabilistic Opponent Movement Models
In multiagent adversarial domains, team agents should adapt to the environment and opponent. We introduce a model representation as part of a planning process for a simulated socce...
Patrick Riley, Manuela M. Veloso
IWANN
1999
Springer
15 years 10 months ago
A Modular Attractor Model of Semantic Access
This paper presents results from lesion experiments on a modular attractor neural network model of semantic access. Real picture data forms the basis of perceptual input to the mod...
William Power, Ray J. Frank, D. John Done, Neil Da...