254 search results - page 11 / 51 » Learning with Consistency between Inductive Functions and Ke... |
MM
2005
ACM
14 years 2 months ago
2005
ACM
Tasks of information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be formulated in a con...
IJCAI
2007
13 years 10 months ago
2007
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
COLT
2001
Springer
14 years 28 days ago
2001
Springer
A classical learning problem in Inductive Inference consists of identifying each function of a given class of recursive functions from a finite number of its output values. Unifor...
BCS
2008
13 years 10 months ago
2008
This paper describes a customisable processor designed to accelerate execution of inductive logic programming, targeting advanced field-programmable gate array (FPGA) technology. ...
GG
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. Triple graph transformation has become an important approach for model transformations. Triple graphs consist of a source, a target and a connection graph. The correspond...