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» Globally Convergent Autocalibration
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PODC
2010
ACM
15 years 1 months ago
Distributed data classification in sensor networks
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
Ittay Eyal, Idit Keidar, Raphael Rom
BIOCOMP
2008
15 years 1 months ago
Analysis of Protein-Ligand Interactions Using Localized Stereochemical Features
Computational analyses of protein structure-function relationships have traditionally been based on sequence homology, fold family analysis and 3D motifs/templates. Previous struct...
Reetal Pai, James C. Sacchettini, Thomas R. Ioerge...
NIPS
2007
15 years 1 months ago
Convex Clustering with Exemplar-Based Models
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Danial Lashkari, Polina Golland
AAAI
2006
15 years 1 months ago
Efficient L1 Regularized Logistic Regression
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
FLAIRS
2001
15 years 1 months ago
Introducing Local Optimization for Effective Initialization and Crossover of Genetic Decision Trees
We introduce a new genetic operator, Reduction, that rectifies decision trees not correct syntactically and at the same time removes the redundant sections within, while preservin...
Arindam Basak, Sudeshna Sarkar