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NIPS
2007
15 years 1 months ago
A Randomized Algorithm for Large Scale Support Vector Learning
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
Krishnan Kumar, Chiru Bhattacharyya, Ramesh Hariha...
ESSLLI
2009
Springer
14 years 9 months ago
Variable Selection in Logistic Regression: The British English Dative Alternation
This paper addresses the problem of selecting the `optimal' variable subset in a logistic regression model for a medium-sized data set. As a case study, we take the British En...
Daphne Theijssen
IPTPS
2003
Springer
15 years 4 months ago
A Simple Fault Tolerant Distributed Hash Table
We introduce a distributed hash table (DHT) with logarithmic degree and logarithmic dilation. We show two lookup algorithms. The first has a message complexity of log n and is ro...
Moni Naor, Udi Wieder
TMI
2010
206views more  TMI 2010»
14 years 6 months ago
Random Subspace Ensembles for fMRI Classification
Classification of brain images obtained through functional magnetic resonance imaging (fMRI) poses a serious challenge to pattern recognition and machine learning due to the extrem...
Ludmila I. Kuncheva, Juan José Rodrí...
WSC
2008
15 years 2 months ago
Restricted subset selection
This paper develops procedures for selecting a set of normal populations with unknown means and unknown variances in order that the final subset of selected populations satisfies ...
E. Jack Chen