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ICDM
2005
IEEE
128views Data Mining» more  ICDM 2005»
15 years 3 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...
MLDM
2005
Springer
15 years 3 months ago
A Grouping Method for Categorical Attributes Having Very Large Number of Values
In supervised machine learning, the partitioning of the values (also called grouping) of a categorical attribute aims at constructing a new synthetic attribute which keeps the info...
Marc Boullé
ICPP
2000
IEEE
15 years 2 months ago
Partial Resolution in Data Value Predictors
Recently, the practice of speculation in resolving data dependences has been studied as a means of extracting more instruction level parallelism (ILP). An outcome of an instructio...
Toshinori Sato, Itsujiro Arita
CONCUR
2003
Springer
15 years 3 months ago
Multi-Valued Model Checking via Classical Model Checking
Multi-valued model-checking is an extension of classical model-checking to reasoning about systems with uncertain information, which are common during early design stages. The addi...
Arie Gurfinkel, Marsha Chechik
ICML
1999
IEEE
15 years 10 months ago
Approximation Via Value Unification
: Numerical function approximation over a Boolean domain is a classical problem with wide application to data modeling tasks and various forms of learning. A great many function ap...
Paul E. Utgoff, David J. Stracuzzi