8970 search results - page 220 / 1794 » Learning to Learn Causal Models |
135
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IDA
2002
Springer
15 years 4 months ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
155
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CVPR
2008
IEEE
16 years 7 months ago
2008
IEEE
We present a fully probabilistic stick-figure model that uses a nonparametric Bayesian distribution over trees for its structure prior. Sticks are represented by nodes in a tree i...
150
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ICANN
2009
Springer
15 years 11 months ago
2009
Springer
Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...
151
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ICTAI
2007
IEEE
15 years 11 months ago
2007
IEEE
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
188
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NIPS
2008
15 years 6 months ago
2008
We present an approach that combines bag-of-words and spatial models to perform semantic and syntactic analysis for recognition of an object based on its internal appearance and i...