2934 search results - page 208 / 587 » Hypothesis Spaces for Learning |
212
click to vote
CVPR
2010
IEEE
16 years 20 days ago
2010
IEEE
Local features have proven very useful for recognition.
Manifold learning has proven to be a very powerful tool in
data analysis. However, manifold learning application for
imag...
143
click to vote
NPL
1998
15 years 6 months ago
1998
Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...
153
click to vote
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
In ranking, one is given examples of order relationships among objects, and the goal is to learn from these examples a real-valued ranking function that induces a ranking or order...
159
click to vote
ALT
2005
Springer
16 years 3 months ago
2005
Springer
This paper deals with an unusual phenomenon where most machine learning algorithms yield good performance on the training set but systematically worse than random performance on th...
136
click to vote
ICALT
2005
IEEE
16 years 4 days ago
2005
IEEE
In this paper we examine some problems related to capturing the structure and the topic name space of learning content in the context of Topic Map authoring. We demonstrate that t...