249 search results - page 9 / 50 » Learning Causal Models of Relational Domains |
103
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DIS
2005
Springer
15 years 5 months ago
2005
Springer
In this paper, the semantic relationships between a predicate and its arguments in terms of semantic roles are employed to improve lexical-based named entity recognition (NER) in t...
100
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AAAI
2007
15 years 2 months ago
2007
Transfer learning addresses the problem of how to leverage knowledge acquired in a source domain to improve the accuracy and speed of learning in a related target domain. This pap...
IJCAI
1993
15 years 29 days ago
1993
In this paper we present a technique for automatically generating constraints on parameter derivatives that reduce ambiguity in the behaviour prediction. Starting with a behaviour...
118
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ICML
2010
IEEE
15 years 22 days ago
2010
IEEE
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
ICML
2004
IEEE
16 years 14 days ago
2004
IEEE
We describe a class of causal, discrete latent variable models called Multiple Multiplicative Factor models (MMFs). A data vector is represented in the latent space as a vector of...