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AI
2007
Springer
14 years 2 months ago
Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks
Importance sampling-based algorithms are a popular alternative when Bayesian network models are too large or too complex for exact algorithms. However, importance sampling is sensi...
Changhe Yuan, Marek J. Druzdzel
ICRA
2003
IEEE
119views Robotics» more  ICRA 2003»
14 years 1 months ago
Using visual features to build topological maps of indoor environments
Abstract— This paper addresses the problem of localization and map construction by a mobile robot in an indoor environment. Instead of trying to build high-fidelity geometric ma...
Paul E. Rybski, Franziska Zacharias, Jean-Fran&cce...
INFOCOM
2002
IEEE
14 years 28 days ago
Application-aware Admission Control and Scheduling in Web Servers
— This paper presents an architecture and algorithms for optimizing the performance of web services. For a given service, session-based admission control is combined with stage-w...
Jakob Carlström, Raphael Rom
GCB
2007
Springer
83views Biometrics» more  GCB 2007»
13 years 12 months ago
Supervised Posteriors for DNA-motif Classification
: Markov models have been proposed for the classification of DNA-motifs using generative approaches for parameter learning. Here, we propose to apply the discriminative paradigm fo...
Jan Grau, Jens Keilwagen, Alexander E. Kel, Ivo Gr...
COLT
2006
Springer
13 years 11 months ago
Stable Transductive Learning
Abstract. We develop a new error bound for transductive learning algorithms. The slack term in the new bound is a function of a relaxed notion of transductive stability, which meas...
Ran El-Yaniv, Dmitry Pechyony