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» A distributed machine learning framework
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89
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ISMB
1993
15 years 4 months ago
Finding Relevant Biomolecular Features
Manymethods for analyzing biological problems are constrained by problemsize. Theability to distinguish betweenrelevant andirrelevant features of a problemmay allowa problemto be ...
Lawrence Hunter, Teri E. Klein
132
Voted
JMLR
2006
116views more  JMLR 2006»
15 years 2 months ago
Step Size Adaptation in Reproducing Kernel Hilbert Space
This paper presents an online support vector machine (SVM) that uses the stochastic meta-descent (SMD) algorithm to adapt its step size automatically. We formulate the online lear...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex ...
118
Voted
SIGDIAL
2010
15 years 20 days ago
Advances in the Witchcraft Workbench Project
The Workbench for Intelligent exploraTion of Human ComputeR conversaTions is a new platform-independent open-source workbench designed for the analysis, mining and management of l...
Alexander Schmitt, Wolfgang Minker, Nada Sharaf
122
Voted
CADE
2008
Springer
16 years 3 months ago
Combining Theorem Proving with Natural Language Processing
Abstract. The LogAnswer system is an application of automated reasoning to the field of open domain question-answering, the retrieval of answers to natural language questions regar...
Björn Pelzer, Ingo Glöckner
139
Voted
MCS
2010
Springer
15 years 9 months ago
Estimation of the Number of Clusters Using Multiple Clustering Validity Indices
One of the challenges in unsupervised machine learning is finding the number of clusters in a dataset. Clustering Validity Indices (CVI) are popular tools used to address this pro...
Krzysztof Kryszczuk, Paul Hurley