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ICML
2004
IEEE
14 years 10 months ago
The Bayesian backfitting relevance vector machine
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
DICTA
2003
13 years 10 months ago
FNS, CFNS and HEIV: Extending Three Vision Parameter Estimation Methods
Estimation of parameters from image tokens is a central problem in computer vision. FNS, CFNS and HEIV are three recently developed methods for solving special but important cases ...
Wojciech Chojnacki, Michael J. Brooks, Anton van d...
DAC
2004
ACM
14 years 10 months ago
Benefits and challenges for platform-based design
Platforms have become an important concept in the design of electronic systems. We present here the motivations behind the interest shown and the challenges that we have to face t...
Alberto L. Sangiovanni-Vincentelli, Luca P. Carlon...
GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
14 years 2 months ago
Information landscapes and the analysis of search algorithms
In [15] we introduced the information landscape as a new concept of a landscape. We showed that for a landscape of a small size, information landscape theory can be used to predic...
Yossi Borenstein, Riccardo Poli
ATAL
2006
Springer
14 years 28 days ago
A model of emotions for situated agents
Emotion is an essential element of human behavior. Particularly in stressful situations such as combat, it is at least as important as rational analysis in determining a participa...
H. Van Dyke Parunak, Robert Bisson, Sven Brueckner...