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» Classifier Selection Based on Data Complexity Measures
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95
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BMCBI
2007
132views more  BMCBI 2007»
15 years 1 months ago
Analysis of probe level patterns in Affymetrix microarray data
Background: Microarrays have been used extensively to analyze the expression profiles for thousands of genes in parallel. Most of the widely used methods for analyzing Affymetrix ...
Alexander C. Cambon, Abdelnaby Khalyfa, Nigel G. F...
FPGA
2008
ACM
308views FPGA» more  FPGA 2008»
15 years 3 months ago
Fpga-based data acquisition system for a positron emission tomography (PET) scanner
: Modern Field Programmable Gate Arrays (FPGAs) are capable of performing complex discrete signal processing algorithms with clock rates of above 100MHz. This combined with FPGAs l...
Michael Haselman, Robert Miyaoka, Thomas K. Lewell...
IJCAI
2001
15 years 3 months ago
Active Learning for Class Probability Estimation and Ranking
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
Maytal Saar-Tsechansky, Foster J. Provost
KDD
2006
ACM
150views Data Mining» more  KDD 2006»
16 years 2 months ago
Maximally informative k-itemsets and their efficient discovery
In this paper we present a new approach to mining binary data. We treat each binary feature (item) as a means of distinguishing two sets of examples. Our interest is in selecting ...
Arno J. Knobbe, Eric K. Y. Ho
107
Voted
AUTOMATICA
2002
111views more  AUTOMATICA 2002»
15 years 1 months ago
Virtual reference feedback tuning: a direct method for the design of feedback controllers
This paper considers the problem of designing a controller for an unknown plant based on input/output measurements. The new design method we propose is direct (no model identificat...
M. C. Campi, A. Lecchini, Sergio M. Savaresi