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» Modeling spiking neural networks
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NLPRS
2001
Springer
15 years 6 months ago
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
Choong-Nyoung Seon, Youngjoong Ko, Jeong-Seok Kim,...
NN
2008
Springer
15 years 1 months ago
Multilayer in-place learning networks for modeling functional layers in the laminar cortex
Currently, there is a lack of general-purpose in-place learning networks that model feature layers in the cortex. By "general-purpose" we mean a general yet adaptive hig...
Juyang Weng, Tianyu Luwang, Hong Lu, Xiangyang Xue
HICSS
2003
IEEE
220views Biometrics» more  HICSS 2003»
15 years 7 months ago
Applications of Hidden Markov Models to Detecting Multi-Stage Network Attacks
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
Dirk Ourston, Sara Matzner, William Stump, Bryan H...
110
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ESOA
2006
15 years 5 months ago
ASOS: An Adaptive Self-organizing Protocol for Surveillance and Routing in Sensor Networks
We present a simple model of self-organization for sensor networks that addresses two conflicting requirements: hazard situations should be reported to a sink node with as little ...
Jorge Simão
ICANN
2007
Springer
15 years 8 months ago
Unbiased SVM Density Estimation with Application to Graphical Pattern Recognition
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
Edmondo Trentin, Ernesto Di Iorio