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NIPS
2007
15 years 8 months ago
Multi-task Gaussian Process Prediction
In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...
Edwin V. Bonilla, Kian Ming Chai, Christopher K. I...
ML
2008
ACM
15 years 6 months ago
Unrestricted pure call-by-value recursion
Call-by-value languages commonly restrict recursive definitions by only allowing functions and syntactically explicit values in the right-hand sides. As a consequence, some very a...
Johan Nordlander, Magnus Carlsson, Andy Gill
ML
2008
ACM
162views Machine Learning» more  ML 2008»
15 years 6 months ago
Incorporating prior knowledge in support vector regression
This paper explores the addition of constraints to the linear programming formulation of the support vector regression problem for the incorporation of prior knowledge. Equality an...
Fabien Lauer, Gérard Bloch
AMC
2005
117views more  AMC 2005»
15 years 6 months ago
Teleonomic entropy: measuring the phase-space of end-directed systems
We introduce a novel way of measuring the entropy of a set of values undergoing changes. Such a measure becomes useful when analyzing the temporal development of an algorithm desi...
Alexander Pudmenzky
179
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INFORMATICALT
2000
118views more  INFORMATICALT 2000»
15 years 6 months ago
Hexagonal Approach and Modeling for the Visual Cortex
In this paper, the hexagonal approach was proposed for modeling the functioning of cerebral cortex, especially, the processes of learning and recognition of visual information. Thi...
Algis Garliauskas, Alvydas Soliunas