254 search results - page 4 / 51 » Learning with Consistency between Inductive Functions and Ke... |
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
A new kernel function between two labeled graphs is presented. Feature vectors are defined as the counts of label paths produced by random walks on graphs. The kernel computation ...
NIPS
2008
13 years 7 months ago
2008
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularizat...
ML
2007
ACM
13 years 5 months ago
2007
ACM
In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
ILP
2007
Springer
13 years 12 months ago
2007
Springer
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...
ENC
2004
IEEE
13 years 9 months ago
2004
IEEE
Despite the relevance of the belief-desire-intention (BDI) model of rational agency, little work has been done to deal with its two main limitations: the lack of learning competen...