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IWANN
2005
Springer
15 years 8 months ago
Input and Structure Selection for k-NN Approximator
Abstract. This paper presents k-NN as an approximator for time series prediction problems. The main advantage of this approximator is its simplicity. Despite the simplicity, k-NN c...
Antti Sorjamaa, Nima Reyhani, Amaury Lendasse
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 7 months ago
Direct mining of discriminative patterns for classifying uncertain data
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
Chuancong Gao, Jianyong Wang
ITC
1995
IEEE
104views Hardware» more  ITC 1995»
15 years 6 months ago
Synthesis of Mapping Logic for Generating Transformed Pseudo-Random Patterns for BIST
During built-in self-test (BIST), the set of patterns generated by a pseudo-random pattern generator may not provide a sufficiently high fault coverage. This paper presents a new ...
Nur A. Touba, Edward J. McCluskey
ESANN
2008
15 years 4 months ago
Using the Delta Test for Variable Selection
Input selection is an important consideration in all large-scale modelling problems. We propose that using an established noise variance estimator known as the Delta test as the ta...
Emil Eirola, Elia Liitiäinen, Amaury Lendasse...
145
Voted
BMCBI
2007
158views more  BMCBI 2007»
15 years 3 months ago
Penalized likelihood for sparse contingency tables with an application to full-length cDNA libraries
Background: The joint analysis of several categorical variables is a common task in many areas of biology, and is becoming central to systems biology investigations whose goal is ...
Corinne Dahinden, Giovanni Parmigiani, Mark C. Eme...