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ICML
2009
IEEE
14 years 11 months ago
Uncertainty sampling and transductive experimental design for active dual supervision
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
Vikas Sindhwani, Prem Melville, Richard D. Lawrenc...
AICCSA
2006
IEEE
121views Hardware» more  AICCSA 2006»
14 years 23 days ago
Software Defect Prediction Using Regression via Classification
In this paper we apply a machine learning approach to the problem of estimating the number of defects called Regression via Classification (RvC). RvC initially automatically discr...
Stamatia Bibi, Grigorios Tsoumakas, Ioannis Stamel...
NIPS
2003
14 years 4 days ago
Hierarchical Topic Models and the Nested Chinese Restaurant Process
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
SIGDIAL
2010
13 years 8 months ago
Modeling Spoken Decision Making Dialogue and Optimization of its Dialogue Strategy
This paper presents a spoken dialogue framework that helps users in making decisions. Users often do not have a definite goal or criteria for selecting from a list of alternatives...
Teruhisa Misu, Komei Sugiura, Kiyonori Ohtake, Chi...
EDM
2010
125views Data Mining» more  EDM 2010»
14 years 7 days ago
Where in the World? Demographic Patterns in Access Data
As learning environments become increasingly available online, the fine-grained records of user activities can be captured and analyzed (generally called webmetrics) to better unde...
Mimi Recker, Beijie Xu, Sherry Hsi, Christine Garr...