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BMCBI
2008
169views more  BMCBI 2008»
13 years 8 months ago
A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification
Background: Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of gene expression microarray technology with several molecular sig...
Alexander R. Statnikov, Lily Wang, Constantin F. A...
CVBIA
2005
Springer
14 years 2 months ago
Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bi...
EUROCAST
2005
Springer
166views Hardware» more  EUROCAST 2005»
14 years 2 months ago
A New Pseudo-Random Generator Based on Gollmann Cascades of Baker-Register-Machines
In this paper, we present a new pseudo-random sequence generator, constructed by the generalized discrete Baker transformation. This new generator is called Cascaded Baker Register...
Dominik Jochinger, Franz Pichler
JAIR
2006
121views more  JAIR 2006»
13 years 8 months ago
How the Landscape of Random Job Shop Scheduling Instances Depends on the Ratio of Jobs to Machines
We characterize the search landscape of random instances of the job shop scheduling problem (JSP). Specifically, we investigate how the expected values of (1) backbone size, (2) d...
Matthew J. Streeter, Stephen F. Smith
CORR
2008
Springer
152views Education» more  CORR 2008»
13 years 8 months ago
An Improved Randomized Truthful Mechanism for Scheduling Unrelated Machines
We study the scheduling problem on unrelated machines in the mechanism design setting. This problem was proposed and studied in the seminal paper of Nisan and
Pinyan Lu, Changyuan Yu