177 search results - page 5 / 36 » Large Patterns Make Great Symbols: An Example of Learning fr... |
DAC
2004
ACM
14 years 8 months ago
2004
ACM
Parametric representations used for symbolic simulation of circuits usually use BDDs. After a few steps of symbolic simulation, state set representation is converted from one para...
SAINT
2005
IEEE
14 years 1 months ago
2005
IEEE
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
DAGSTUHL
2009
13 years 8 months ago
2009
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
IDA
2006
Springer
13 years 7 months ago
2006
Springer
Clustering or co-clustering techniques have been proved useful in many application domains. A weakness of these techniques remains the poor support for grouping characterization. ...
DAS
2010
Springer
13 years 11 months ago
2010
Springer
This paper addresses how to quickly recognize a character pattern using a lot of case examples without learning. Here without learning means just finding the most similar example...