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» Learning Functions from Imperfect Positive Data
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146
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IPSN
2005
Springer
15 years 9 months ago
Lossy network correlated data gathering with high-resolution coding
— We consider a sensor network measuring correlated data, where the task is to gather all data from the network nodes to a sink. We consider the case where data at nodes is lossy...
Razvan Cristescu, Baltasar Beferull-Lozano
123
Voted
NAR
2000
120views more  NAR 2000»
15 years 3 months ago
WIT: integrated system for high-throughput genome sequence analysis and metabolic reconstruction
The WIT (What Is There) (http://wit.mcs.anl.gov/WIT2/ ) system has been designed to support comparative analysis of sequenced genomes and to generate metabolic reconstructions bas...
Ross A. Overbeek, Niels Larsen, Gordon D. Pusch, M...
152
Voted
IJON
2006
95views more  IJON 2006»
15 years 3 months ago
Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis
A correlation-based similarity measure is derived for generalized relevance learning vector quantization (GRLVQ). The resulting GRLVQ-C classifier makes Pearson correlation availa...
Marc Strickert, Udo Seiffert, Nese Sreenivasulu, W...
127
Voted
ICPR
2004
IEEE
16 years 4 months ago
Kernel Autoassociator with Applications to Visual Classification
Autoassociator is an important issue in concept learning, and the learned concept of a particular class can be used to distinguish the class from the others. For nonlinear autoass...
Bailing Zhang, Haihong Zhang, Weimin Huang, Zhiyon...
107
Voted
VIZSEC
2004
Springer
15 years 9 months ago
User re-authentication via mouse movements
We present an approach to user re-authentication based on the data collected from the computer’s mouse device. Our underlying hypothesis is that one can successfully model user ...
Maja Pusara, Carla E. Brodley