1339 search results - page 143 / 268 » Learning Functions from Imperfect Positive Data |
145
Voted
PR
2010
15 years 2 months ago
2010
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
126
Voted
LWA
2004
15 years 5 months ago
2004
This paper reports first results of an empirical study of the precision of classification rules on an independent test set. We generated a large number of rules using a general co...
129
click to vote
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
112
Voted
NIPS
2003
15 years 5 months ago
2003
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
154
Voted
TNN
2008
15 years 3 months ago
2008
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...