254 search results - page 16 / 51 » Learning with Consistency between Inductive Functions and Ke... |
GECCO
2006
Springer
14 years 3 days ago
2006
Springer
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
BMCBI
2004
13 years 8 months ago
2004
Background: In addition to known protein-coding genes, large amounts of apparently non-coding sequence are conserved between the human and mouse genomes. It seems reasonable to as...
PKDD
2007
Springer
14 years 2 months ago
2007
Springer
This paper presents a novel method for multi-relational classification via an aggregation-based Inductive Logic Programming (ILP) approach. We extend the classical ILP representati...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
JMLR
2006
13 years 8 months ago
2006
The consistency of classification algorithm plays a central role in statistical learning theory. A consistent algorithm guarantees us that taking more samples essentially suffices...