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» Long term tracking using Bayesian networks
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UAI
1996
15 years 5 months ago
Why is diagnosis using belief networks insensitive to imprecision in probabilities?
Recent research has found that diagnostic performance with Bayesian belief networks is often surprisingly insensitive to imprecision in the numerical probabilities. For example, t...
Max Henrion, Malcolm Pradhan, Brendan Del Favero, ...
RECOMB
2004
Springer
16 years 4 months ago
Learning Regulatory Network Models that Represent Regulator States and Roles
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
Keith Noto, Mark Craven
SMC
2010
IEEE
242views Control Systems» more  SMC 2010»
15 years 2 months ago
Analysis of shopping behavior based on surveillance system
—Closed Circuit Television systems in shopping malls could be used to monitor the shopping behavior of people. From the tracked path, features can be extracted such as the relati...
Mirela Popa, Léon J. M. Rothkrantz, Zhenke ...
PVLDB
2010
133views more  PVLDB 2010»
15 years 2 months ago
RoadTrack: Scaling Location Updates for Mobile Clients on Road Networks with Query Awareness
Mobile commerce and location based services (LBS) are some of the fastest growing IT industries in the last five years. Location update of mobile clients is a fundamental capabil...
Péter Pesti, Ling Liu, Bhuvan Bamba, Arun I...
KDD
2000
ACM
153views Data Mining» more  KDD 2000»
15 years 7 months ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp