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ENGL
2007
102views more  ENGL 2007»
14 years 9 months ago
Decision Theoretic Agent Design for Personal Rapid Transit Systems
—This paper details a learning decision-theoretic intelligent agent designed to solve the problem of guiding vehicles in the context of Personal Rapid Transit (PRT). The intellig...
Iheanyi C. Umez-Eronini, Ferat Sahin
81
Voted
NIPS
2007
14 years 11 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
AVSS
2006
IEEE
15 years 3 months ago
Activity Topology Estimation for Large Networks of Cameras
Estimating the paths that moving objects can take through the fields of view of possibly non-overlapping cameras, also known as their activity topology, is an important step in t...
Anton van den Hengel, Anthony R. Dick, Rhys Hill
ITNG
2010
IEEE
15 years 2 months ago
BAUT: A Bayesian Driven Tutoring System
—This paper presents the design of BAUT, a tutoring system that explores statistical approach for providing instant project failure analysis. Driven by a Bayesian Network (BN) in...
Song Tan, Kai Qian, Xiang Fu, Prabir Bhattacharya
CCS
2009
ACM
15 years 4 months ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...