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KDD
2008
ACM
195views Data Mining» more  KDD 2008»
14 years 9 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill
BMCBI
2010
139views more  BMCBI 2010»
13 years 9 months ago
A global optimization algorithm for protein surface alignment
Background: A relevant problem in drug design is the comparison and recognition of protein binding sites. Binding sites recognition is generally based on geometry often combined w...
Paola Bertolazzi, Concettina Guerra, Giampaolo Liu...
ICTAI
1994
IEEE
14 years 1 months ago
NSK, an Object-Oriented Simulator Kernel for Arbitrary Feedforward Neural Networks
An object-oriented neural network simulator kernel is presented. It is based on a general mathematical model for arbitrary feedforward nets. We propose a C++ implementation of thi...
Cédric Gégout, Bernard Girau, Fabric...
NIPS
2004
13 years 10 months ago
Support Vector Classification with Input Data Uncertainty
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
Jinbo Bi, Tong Zhang
IJCNN
2000
IEEE
14 years 16 days ago
Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...
Sander M. Bohte, Johannes A. La Poutré, Joo...