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» Using Prior Knowledge: Problems and Solutions
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ICMLA
2009
14 years 9 months ago
Knowledge Transfer for Feature Generation in Document Classification
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
Jian Zhang, Shobhit S. Shakya
SIGIR
2008
ACM
14 years 11 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
ICCS
2001
Springer
15 years 4 months ago
An Application of the Process Mechanism to a Room Allocation Problem Using the pCG Language
The Sisyphus-I initiative consists of a constraint satisfaction problem in which a group of people in a research environment must be allocated rooms. Numerous constraints are detai...
David Benn, Dan Corbett
COGSCI
2004
74views more  COGSCI 2004»
14 years 11 months ago
You'll see what you mean: Students encode equations based on their knowledge of arithmetic
This study investigated the roles of problem structure and strategy use in problem encoding. Fourthgrade students solved and explained a set of typical addition problems (e.g., 5 ...
Nicole M. McNeil, Martha W. Alibali
ISI
2006
Springer
14 years 11 months ago
Synergy: A Policy-Driven, Trust-Aware Information Dissemination Framework
Information dissemination is of vital importance in today's information-centric world. However, controlling the flow of information across multiple security domains is a probl...
Ragib Hasan, Marianne Winslett