4591 search results - page 192 / 919 » Learning from Dyadic Data |
145
click to vote
ICDM
2005
IEEE
15 years 10 months ago
2005
IEEE
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
127
click to vote
JMLR
2002
15 years 4 months ago
2002
We extend the classical algorithms of Valiant and Haussler for learning compact conjunctions and disjunctions of Boolean attributes to allow features that are constructed from the...
164
click to vote
ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
171
click to vote
ICIP
2003
IEEE
16 years 6 months ago
2003
IEEE
For effective retrieval of visual information, statistical learning plays a pivotal role. Statistical learning in such a context faces at least two major mathematical challenges: ...
139
click to vote
ICDM
2003
IEEE
15 years 9 months ago
2003
IEEE
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...