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ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 1 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
PAMI
2006
125views more  PAMI 2006»
15 years 1 months ago
Channel Smoothing: Efficient Robust Smoothing of Low-Level Signal Features
In this paper, we present a new and efficient method to implement robust smoothing of low-level signal features: B-spline channel smoothing. This method consists of three steps: en...
Michael Felsberg, Per-Erik Forssén, Hanno S...
IJES
2007
71views more  IJES 2007»
15 years 1 months ago
Power management in external memory using PA-CDRAM
Abstract: Main memory has become one of the largest contributors to overall energy consumption and offers many opportunities for power/energy reduction. In this paper, we propose ...
Nevine AbouGhazaleh, Bruce R. Childers, Daniel Mos...
TASLP
2008
136views more  TASLP 2008»
15 years 1 months ago
Distortion Estimation in Compressed Music Using Only Audio Fingerprints
Abstract--An audio fingerprint is a compact yet very robust representation of the perceptually relevant parts of an audio signal. It can be used for content-based audio identificat...
Peter Jan O. Doets, Reginald L. Lagendijk
IS
2007
15 years 1 months ago
Improving process models by discovering decision points
Workflow management systems (WfMS) are widely used by business enterprises as tools for administrating, automating and scheduling the business process activities with the availab...
Sharmila Subramaniam, Vana Kalogeraki, Dimitrios G...