Sciweavers

1047 search results - page 115 / 210
» Learning the required number of agents for complex tasks
Sort
View
PKDD
2010
Springer
162views Data Mining» more  PKDD 2010»
13 years 6 months ago
Expectation Propagation for Bayesian Multi-task Feature Selection
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
Daniel Hernández-Lobato, José Miguel...
ECML
1997
Springer
14 years 1 days ago
Constructing Intermediate Concepts by Decomposition of Real Functions
In learning from examples it is often useful to expand an attribute-vector representation by intermediate concepts. The usual advantage of such structuring of the learning problemi...
Janez Demsar, Blaz Zupan, Marko Bohanec, Ivan Brat...
CHI
2007
ACM
13 years 12 months ago
Aligning development tools with the way programmers think about code changes
Software developers must modify their programs to keep up with changing requirements and designs. Often, a conceptually simple change can require numerous edits that are similar b...
Marat Boshernitsan, Susan L. Graham, Marti A. Hear...
JMLR
2010
135views more  JMLR 2010»
13 years 2 months ago
Structured Prediction Cascades
Structured prediction tasks pose a fundamental trade-off between the need for model complexity to increase predictive power and the limited computational resources for inference i...
David Weiss, Benjamin Taskar
ATAL
2003
Springer
14 years 1 months ago
A protocol for multi-agent diagnosis with spatially distributed knowledge
In a large distributed system it is often infeasible or even impossible to perform diagnosis using a single model of the whole system. Instead, several spatially distributed local...
Nico Roos, Annette ten Teije, Cees Witteveen