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NIPS
2004
14 years 11 months ago
Instance-Specific Bayesian Model Averaging for Classification
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
Shyam Visweswaran, Gregory F. Cooper
JCB
2006
185views more  JCB 2006»
14 years 10 months ago
A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
CSREASAM
2006
14 years 11 months ago
Novel Attack Detection Using Fuzzy Logic and Data Mining
: - Intrusion Detection Systems are increasingly a key part of systems defense. Various approaches to Intrusion Detection are currently being used, but they are relatively ineffect...
Norbik Bashah Idris, Bharanidharan Shanmugam
ICRA
2010
IEEE
149views Robotics» more  ICRA 2010»
14 years 8 months ago
Observability analysis of relative localization for AUVs based on ranging and depth measurements
— The paper studies the observability properties of the relative localization of two Autonomous Underwater Vehicles (AUVs) equipped with depth sensors, linear/angular velocity se...
Gianluca Antonelli, Filippo Arrichiello, Stefano C...
OSDI
2004
ACM
15 years 10 months ago
Correlating Instrumentation Data to System States: A Building Block for Automated Diagnosis and Control
This paper studies the use of statistical induction techniques as a basis for automated performance diagnosis and performance management. The goal of the work is to develop and ev...
Ira Cohen, Jeffrey S. Chase, Julie Symons, Mois&ea...