254 search results - page 11 / 51 » Learning with Consistency between Inductive Functions and Ke... |
67
Voted
MM
2005
ACM
15 years 3 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
14 years 11 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
15 years 2 months 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...
89
Voted
BCS
2008
14 years 11 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. ...
71
Voted
GG
2008
Springer
14 years 10 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...