143 search results - page 18 / 29 » On Using Machine Learning for Logic BIST |
MLDM
2009
Springer
14 years 2 months ago
2009
Springer
A number of two-class classification methods first discretize each attribute of two given training sets and then construct a propositional DNF formula that evaluates to True for ...
ISMB
1993
13 years 8 months ago
1993
There are several dimensions and levels of complexity in which information on protein motifs may be available. For example, onedimensional sequence motifs may be associated with s...
ML
2006
ACM
13 years 7 months ago
2006
ACM
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. A common way to measure performance in these domains is to use precision and recall i...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We describe a new method for learning the conditional probability distribution of a binary-valued variable from labelled training examples. Our proposed Compositional Noisy-Logica...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
In inductive logic programming, subsumption is a widely used coverage test. Unfortunately, testing -subsumption is NP-complete, which represents a crucial efficiency bottleneck fo...