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» Data Mining: Machine Learning, Statistics, and Databases
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ISRR
2005
Springer
154views Robotics» more  ISRR 2005»
15 years 5 months ago
Session Overview Planning
ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
Nicholas Roy, Roland Siegwart
CCGRID
2007
IEEE
15 years 6 months ago
Performance Evaluation in Grid Computing: A Modeling and Prediction Perspective
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...
Hui Li
AUSDM
2008
Springer
367views Data Mining» more  AUSDM 2008»
15 years 1 months ago
Categorical Proportional Difference: A Feature Selection Method for Text Categorization
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...
Mondelle Simeon, Robert J. Hilderman
ILP
2003
Springer
15 years 5 months ago
Relational IBL in Music with a New Structural Similarity Measure
It is well known that many hard tasks considered in machine learning and data mining can be solved in an rather simple and robust way with an instance- and distance-based approach....
Asmir Tobudic, Gerhard Widmer
JIIS
2007
133views more  JIIS 2007»
14 years 11 months ago
SPHINX: Schema integration by example
The Internet has instigated a critical need for automated tools that facilitate integrating countless databases. Since non-technical end users are often the ultimate repositories ...
François Barbançon, Daniel P. Mirank...