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JIISIC
2001
15 years 2 months ago
Knowledge Component of a Multiagent Distributed Decision Support System
We have developed a distributed DSS capable to working in a dynamic way. That is, when a domain of an organization needs a new kind of information, the system looks for this infor...
Georgina Stegmayer, María Laura Caliusco, O...
COLT
2007
Springer
15 years 7 months ago
Minimax Bounds for Active Learning
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
Rui Castro, Robert D. Nowak
ICML
2010
IEEE
15 years 2 months ago
Deep Supervised t-Distributed Embedding
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
Martin Renqiang Min, Laurens van der Maaten, Zinen...
COLT
1992
Springer
15 years 5 months ago
Dominating Distributions and Learnability
We consider PAC-learning where the distribution is known to the student. The problem addressed here is characterizing when learnability with respect to distribution D1 implies lea...
Gyora M. Benedek, Alon Itai
EUROGP
2008
Springer
105views Optimization» more  EUROGP 2008»
15 years 3 months ago
A Linear Estimation-of-Distribution GP System
We present N-gram GP, an estimation of distribution algorithm for the evolution of linear computer programs. The algorithm learns and samples the joint probability distribution of...
Riccardo Poli, Nicholas Freitag McPhee