390 search results - page 26 / 78 » A Model of Inductive Bias Learning |
NIPS
2008
13 years 10 months ago
2008
We present a novel method for inducing synchronous context free grammars (SCFGs) from a corpus of parallel string pairs. SCFGs can model equivalence between strings in terms of su...
JSAI
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. This paper is concerned with algorithms for the logical generalisation of probabilistic temporal models from examples. The algorithms combine logic and probabilistic mode...
RSEISP
2007
Springer
14 years 2 months ago
2007
Springer
This paper concerns the development of a new direction in machine learning, called natural induction, which requires from computergenerated knowledge not only to have high predicti...
IJCAI
1997
13 years 10 months ago
1997
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
METMBS
2003
13 years 10 months ago
2003
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...