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ACL
2001
15 years 6 months ago
Using Machine Learning Techniques to Interpret WH-questions
We describe a set of supervised machine learning experiments centering on the construction of statistical models of WH-questions. These models, which are built from shallow lingui...
Ingrid Zuckerman, Eric Horvitz
SEMWEB
2010
Springer
15 years 2 months ago
Assessing Trust in Uncertain Information
On the Semantic Web, decision makers (humans or software agents alike) are faced with the challenge of examining large volumes of information originating from heterogeneous sources...
Achille Fokoue, Mudhakar Srivatsa, Robert Young
IJRR
2010
113views more  IJRR 2010»
15 years 3 months ago
On the Topology of Discrete Strategies
This paper explores a topological perspective of planning in the presence of uncertainty, focusing on tasks specified by goal states in discrete spaces. The paper introduces stra...
Michael Erdmann
127
Voted
IPPS
2007
IEEE
15 years 11 months ago
Network-Oblivious Algorithms
The design of algorithms that can run unchanged yet efficiently on a variety of machines characterized by different degrees of parallelism and communication capabilities is a hig...
Gianfranco Bilardi, Andrea Pietracaprina, Geppino ...
156
Voted
ICDM
2005
IEEE
128views Data Mining» more  ICDM 2005»
15 years 10 months ago
An Expected Utility Approach to Active Feature-Value Acquisition
In many classification tasks training data have missing feature values that can be acquired at a cost. For building accurate predictive models, acquiring all missing values is of...
Prem Melville, Foster J. Provost, Raymond J. Moone...