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» A Value Theory of Meta-Learning Algorithms
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CIKM
2008
Springer
15 years 1 months ago
Ranked feature fusion models for ad hoc retrieval
We introduce the Ranked Feature Fusion framework for information retrieval system design. Typical information retrieval formalisms such as the vector space model, the bestmatch mo...
Jeremy Pickens, Gene Golovchinsky
ICRA
2006
IEEE
130views Robotics» more  ICRA 2006»
15 years 5 months ago
Study on Hemispherical Soft-fingered Handling for fine Manipulation by Minimum D.O.F. Robotic Hand
— This paper provides that an elastic force and an elastic potential energy due to the deformation of soft fingers, which are previously derived, can be calculated into straight...
Takahiro Inoue, Shinichi Hirai
FUIN
2008
112views more  FUIN 2008»
14 years 12 months ago
A New Probabilistic Approach for Fractal Based Image Compression
Abstract. Approximation of an image by the attractor evolved through iterations of a set of contractive maps is usually known as fractal image compression. The set of maps is calle...
Suman K. Mitra, Malay Kumar Kundu, C. A. Murthy, B...
GECCO
2005
Springer
111views Optimization» more  GECCO 2005»
15 years 5 months ago
XCS with eligibility traces
The development of the XCS Learning Classifier System has produced a robust and stable implementation that performs competitively in direct-reward environments. Although investig...
Jan Drugowitsch, Alwyn Barry
CORR
2007
Springer
104views Education» more  CORR 2007»
14 years 11 months ago
Separable convex optimization problems with linear ascending constraints
Separable convex optimization problems with linear ascending inequality and equality constraints are addressed in this paper. An algorithm that explicitly characterizes the optimum...
Arun Padakandla, Rajesh Sundaresan