3624 search results - page 328 / 725 » Learning to learn: From smart machines to intelligent machin... |
192
click to vote
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
178
click to vote
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
171
click to vote
ALT
2007
Springer
16 years 1 months ago
2007
Springer
This paper deals with the problem of making predictions in the online mode of learning where the dependence of the outcome yt on the signal xt can change with time. The Aggregating...
154
Voted
COLT
2007
Springer
16 years 1 months ago
2007
Springer
When comparing discrete probability distributions, natural measures of similarity are not p distances but rather are informationdivergences such as Kullback-Leibler and Hellinger. ...
172
click to vote
NLDB
2004
Springer
16 years 5 days ago
2004
Springer
Abstract. In this paper, we describe a new way to access information by “chatting” to an information source. This involves a chatbot, a program that emulates human conversation...