62 search results - page 2 / 13 » Learning Isometric Separation Maps |
129
click to vote
ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
The problem of nonlinear dimensionality reduction is considered. We focus on problems where prior information is available, namely, semi-supervised dimensionality reduction. It is...
158
click to vote
ALT
2006
Springer
16 years 1 months ago
2006
Springer
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
156
click to vote
ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
151
click to vote
JMLR
2010
14 years 11 months ago
2010
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
154
click to vote
TCS
2008
15 years 4 months ago
2008
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...