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» Pattern Recognition and Neural Networks
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CIKM
2008
Springer
15 years 6 months ago
Classifying networked entities with modularity kernels
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
Dell Zhang, Robert Mao
KDD
2005
ACM
181views Data Mining» more  KDD 2005»
16 years 4 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
IPPS
1999
IEEE
15 years 8 months ago
High-Performance Knowledge Extraction from Data on PC-Based Networks of Workstations
The automatic construction of classi ers programs able to correctly classify data collected from the real world is one of the major problems in pattern recognition and in a wide ar...
Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bell...
ICPR
2008
IEEE
16 years 5 months ago
Dynamic target classification in wireless sensor networks
Feature extraction and classification are two important components in pattern recognition. In this paper, we propose dynamic target classification in WSNs. The main idea of this a...
Ying Sun, Hairong Qi
TCBB
2008
103views more  TCBB 2008»
15 years 4 months ago
DNA Motif Representation with Nucleotide Dependency
The problem of discovering novel motifs of binding sites is important to the understanding of gene regulatory networks. Motifs are generally represented by matrices (PWM or PSSM) o...
Francis Y. L. Chin, Henry C. M. Leung