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» Modeling diverse standpoints in text classification: learnin...
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SIGIR
2008
ACM
13 years 5 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
ACMIDC
2011
12 years 9 months ago
Examining values: an analysis of nine years of IDC research
Explicitly examining the values held by a research community provides a tool in which participants can define its culture, conduct informed research, and reflect on their design p...
Svetlana Yarosh, Iulian Radu, Seth Hunter, Eric Ro...
WWW
2006
ACM
14 years 6 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
ICML
2010
IEEE
13 years 5 months ago
Spherical Topic Models
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...
Joseph Reisinger, Austin Waters, Bryan Silverthorn...
AAAI
2007
13 years 7 months ago
On the Prospects for Building a Working Model of the Visual Cortex
Human visual capability has remained largely beyond the reach of engineered systems despite intensive study and considerable progress in problem understanding, algorithms and comp...
Thomas Dean, Glenn Carroll, Richard Washington