801 search results - page 101 / 161 » Machine Learning with Data Dependent Hypothesis Classes |
ICML
2002
IEEE
14 years 9 months ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
ICASSP
2011
IEEE
13 years 14 days ago
2011
IEEE
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
ICDM
2009
IEEE
13 years 6 months ago
2009
IEEE
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
DATAMINE
2006
13 years 8 months ago
2006
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
KDD
2009
ACM
14 years 1 months ago
2009
ACM
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...