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» Learning to Identify Unexpected Instances in the Test Set
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JMLR
2011
111views more  JMLR 2011»
13 years 2 months ago
Models of Cooperative Teaching and Learning
While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooper...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
PKC
1999
Springer
115views Cryptology» more  PKC 1999»
13 years 11 months ago
Decision Oracles are Equivalent to Matching Oracles
One of the key directions in complexity theory which has also filtered through to cryptographic research, is the effort to classify related but seemingly distinct notions. Separa...
Helena Handschuh, Yiannis Tsiounis, Moti Yung
BMCBI
2008
179views more  BMCBI 2008»
13 years 7 months ago
Improving the power for detecting overlapping genes from multiple DNA microarray-derived gene lists
Background: In DNA microarray gene expression profiling studies, a fundamental task is to extract statistically significant genes that meet certain research hypothesis. Currently,...
Xutao Deng, Jun Xu, Charles Wang
IJCAI
2003
13 years 8 months ago
Integrating Background Knowledge Into Text Classification
We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...
Sarah Zelikovitz, Haym Hirsh
WEBDB
2010
Springer
178views Database» more  WEBDB 2010»
14 years 14 days ago
Using Latent-Structure to Detect Objects on the Web
An important requirement for emerging applications which aim to locate and integrate content distributed over the Web is to identify pages that are relevant for a given domain or ...
Luciano Barbosa, Juliana Freire