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PKDD
2007
Springer
91views Data Mining» more  PKDD 2007»
13 years 10 months ago
Domain Adaptation of Conditional Probability Models Via Feature Subsetting
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
Sandeepkumar Satpal, Sunita Sarawagi
CONTEXT
2005
Springer
13 years 10 months ago
Contextual Modals
In a series of recent articles Angelika Kratzer has argued that the standard account of modality along Kripkean lines is inadequate in order to represent context-dependent modals. ...
Horacio L. Arló-Costa, William Taysom
AGENTS
1998
Springer
13 years 9 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
ICDE
2003
IEEE
247views Database» more  ICDE 2003»
14 years 6 months ago
CLUSEQ: Efficient and Effective Sequence Clustering
Analyzing sequence data has become increasingly important recently in the area of biological sequences, text documents, web access logs, etc. In this paper, we investigate the pro...
Jiong Yang, Wei Wang 0010