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» Model Uncertainty in Classical Conditioning
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JMLR
2006
103views more  JMLR 2006»
13 years 8 months ago
On Model Selection Consistency of Lasso
Sparsity or parsimony of statistical models is crucial for their proper interpretations, as in sciences and social sciences. Model selection is a commonly used method to find such...
Peng Zhao, Bin Yu
IBERAMIA
2010
Springer
13 years 6 months ago
Interaction Graphs for Multivariate Binary Data
We define a class of graphs that summarize in a compact visual way the interaction structure between binary multivariate characteristics. This allows studying the conditional depe...
Johan Van Horentonioeek, Jesús Emeterio Nav...
AMC
2005
136views more  AMC 2005»
13 years 8 months ago
Solving a dynamic cell formation problem using metaheuristics
In this paper, solving a cell formation (CF) problem in dynamic condition is going to be discussed by using some traditional metaheuristic methods such as genetic algorithm (GA), ...
Reza Tavakkoli-Moghaddam, M. B. Aryanezhad, Nima S...
NIPS
2003
13 years 9 months ago
Margin Maximizing Loss Functions
Margin maximizing properties play an important role in the analysis of classi£cation models, such as boosting and support vector machines. Margin maximization is theoretically in...
Saharon Rosset, Ji Zhu, Trevor Hastie
ICWS
2004
IEEE
13 years 9 months ago
Dynamic Workflow Composition using Markov Decision Processes
The advent of Web services has made automated workflow composition relevant to Web based applications. One technique that has received some attention, for automatically composing ...
Prashant Doshi, Richard Goodwin, Rama Akkiraju, Ku...