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» An e-Process Selection Model
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NLE
2010
112views more  NLE 2010»
14 years 10 months ago
A non-negative tensor factorization model for selectional preference induction
Distributional similarity methods have proven to be a valuable tool for the induction of semantic similarity. Up till now, most algorithms use two-way cooccurrence data to compute...
Tim Van de Cruys
IMCSIT
2010
14 years 9 months ago
Modelling, Optimization and Execution of Workflow Applications with Data Distribution, Service Selection and Budget Constraints
Abstract--The paper proposes a model which allows integration of services published by independent providers into scientific or business workflows. Optimization algorithms are prop...
Pawel Czarnul
JMLR
2010
104views more  JMLR 2010»
14 years 6 months ago
Increasing Feature Selection Accuracy for L1 Regularized Linear Models
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
Abhishek Jaiantilal, Gregory Z. Grudic
PR
2007
104views more  PR 2007»
14 years 11 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
JCIT
2010
144views more  JCIT 2010»
14 years 6 months ago
A Model for Software Selection with Fuzzy Linguistic Information
With respect to multiple attribute decision making problem with triangular fuzzy linguistic information, in which the attribute weights and expert weights take the form of real nu...
Juchi Hou