801 search results - page 79 / 161 » Machine Learning with Data Dependent Hypothesis Classes |
IJCAI
2001
13 years 10 months ago
2001
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
ECML
2007
Springer
14 years 2 months ago
2007
Springer
Many data mining techniques are these days in use for ontology learning – text mining, Web mining, graph mining, link analysis, relational data mining, and so on. In the current ...
IJCAI
2007
13 years 10 months ago
2007
Occam’s razor is the principle that, given two hypotheses consistent with the observed data, the simpler one should be preferred. Many machine learning algorithms follow this pr...
AAAI
2008
13 years 11 months ago
2008
We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or...
CVPR
2012
IEEE
12 years 2 months ago
2012
IEEE
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...