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» Combining Multiple Clustering Systems
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CSMR
2009
IEEE
14 years 2 months ago
Software Clustering Using Dynamic Analysis and Static Dependencies
Decomposing a software system into smaller, more manageable clusters is a common approach to support the comprehension of large systems. In recent years, researchers have focused ...
Chiragkumar Patel, Abdelwahab Hamou-Lhadj, Juergen...
ML
2010
ACM
135views Machine Learning» more  ML 2010»
13 years 4 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer
IROS
2006
IEEE
155views Robotics» more  IROS 2006»
14 years 4 months ago
Multiple Hypothesis Tracking of Clusters of People
— Mobile robots operating in populated environments typically can improve their service and navigation behavior when they know where people are in their vicinity and in which dir...
Manuel Mucientes, Wolfram Burgard
ICML
2007
IEEE
14 years 11 months ago
Spectral clustering and transductive learning with multiple views
We consider spectral clustering and transductive inference for data with multiple views. A typical example is the web, which can be described by either the hyperlinks between web ...
Dengyong Zhou, Christopher J. C. Burges
ICANN
2005
Springer
14 years 3 months ago
Combining Attention and Value Maps
We present an approach where we combine attention with value maps for the purpose of acquiring a decision-making policy for multiple concurrent goals. The former component is essen...
Stathis Kasderidis, John G. Taylor