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TMI
2010
206views more  TMI 2010»
15 years 1 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...
AAAI
2011
14 years 6 months ago
Fast Newton-CG Method for Batch Learning of Conditional Random Fields
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...
AIME
2011
Springer
14 years 6 months ago
Diagnosis Code Assignment Support Using Random Indexing of Patient Records - A Qualitative Feasibility Study
Abstract. The prediction of diagnosis codes is typically based on freetext entries in clinical documents. Previous attempts to tackle this problem range from strictly rule-based sy...
Aron Henriksson, Martin Hassel, Maria Kvist
CORR
2012
Springer
272views Education» more  CORR 2012»
14 years 2 months ago
Fast and Exact Top-k Search for Random Walk with Restart
Graphs are fundamental data structures and have been employed for centuries to model real-world systems and phenomena. Random walk with restart (RWR) provides a good proximity sco...
Yasuhiro Fujiwara, Makoto Nakatsuji, Makoto Onizuk...
164
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ISSRE
2002
IEEE
15 years 11 months ago
Saturation Effects in Testing of Formal Models
Formal analysis of software is a powerful analysis tool, but can be too costly. Random search of formal models can reduce that cost, but is theoretically incomplete. However, rand...
Tim Menzies, David Owen, Bojan Cukic