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PUC
2006
128views more  PUC 2006»
15 years 4 months ago
A cube to learn: a tangible user interface for the design of a learning appliance
In this paper we introduce the design and development of the Learning Cube as a novel tangible learning appliance. Using the common shape of a cube we implemented a general learnin...
Lucia Terrenghi, Matthias Kranz, Paul Holleis, Alb...
HICSS
2009
IEEE
147views Biometrics» more  HICSS 2009»
15 years 11 months ago
Determining a Firm's Optimal Outsourcing Rate: A Learning Model Perspective
We present a decision model of a firm’s optimal outsourcing rate as an extension of Cha et. al [1]’s previous work on the economic risk of knowledge loss and deskilling in the...
Hoon S. Cha, David E. Pingry, Matt E. Thatcher
EMNLP
2006
15 years 6 months ago
Learning Field Compatibilities to Extract Database Records from Unstructured Text
Named-entity recognition systems extract entities such as people, organizations, and locations from unstructured text. Rather than extract these mentions in isolation, this paper ...
Michael L. Wick, Aron Culotta, Andrew McCallum
JIDM
2010
90views more  JIDM 2010»
14 years 11 months ago
A Context-Dependent Supervised Learning Approach to Sentiment Detection in Large Textual Databases
Sentiment detection automatically identifies emotions in textual data. The increasing amount of emotive documents available in corporate databases and on the World Wide Web calls f...
Albert Weichselbraun, Stefan Gindl, Arno Scharl
145
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ICML
2007
IEEE
16 years 5 months ago
Bayesian compressive sensing and projection optimization
This paper introduces a new problem for which machine-learning tools may make an impact. The problem considered is termed "compressive sensing", in which a real signal o...
Shihao Ji, Lawrence Carin