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ICTAI
2009
IEEE
14 years 3 months ago
Probabilistic Neural Logic Network Learning: Taking Cues from Neuro-Cognitive Processes
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
Henry Wai Kit Chia, Chew Lim Tan, Sam Yuan Sung
NSDI
2008
13 years 11 months ago
Exploiting Machine Learning to Subvert Your Spam Filter
Using statistical machine learning for making security decisions introduces new vulnerabilities in large scale systems. This paper shows how an adversary can exploit statistical m...
Blaine Nelson, Marco Barreno, Fuching Jack Chi, An...
NC
2006
132views Neural Networks» more  NC 2006»
13 years 8 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
ETS
2000
IEEE
126views Hardware» more  ETS 2000»
13 years 8 months ago
Dynamic Goal-Based Role-Play Simulation on the Web: A Case Study
This paper outlines and discusses the pedagogical approach, the technical design architecture, and an innovative implementation of a collaborative role-play simulation technology ...
Som Naidu, Albert Ip, Roni Linser
CCECE
2009
IEEE
14 years 3 months ago
A distributed and cooperative supervisory estimation of multi-agent systems - Part I: Framework
Abstract—In this work, we propose a framework for supervisory cooperative estimation of multi-agent linear time-invariant (LTI) systems. We introduce a group of sub-observers, ea...
Seyyedmohsen Azizi, Mani M. Tousi, Kash Khorasani