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» A computational approximation to the AIXI model
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TCS
2011
15 years 1 months ago
Sorting and selection on dynamic data
We formulate and study a new computational model for dynamic data. In this model, the data changes gradually and the goal of an algorithm is to compute the solution to some proble...
Aris Anagnostopoulos, Ravi Kumar, Mohammad Mahdian...
155
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BIRTHDAY
2006
Springer
15 years 9 months ago
Data Flow Analysis for CCS
Data Flow Analysis as expressed by Monotone Frameworks is often associated with classical imperative programming languages and has played a crucial role in the efficient implementa...
Hanne Riis Nielson, Flemming Nielson
VMV
2000
146views Visualization» more  VMV 2000»
15 years 7 months ago
Efficient Importance Sampling Techniques for the Photon Map
In global illumination computations the photon map is a powerful tool for approximating the irradiance, which is stored independent from scene geometry. By presenting a new algori...
Alexander Keller, Ingo Wald
ISMB
1994
15 years 7 months ago
Neural Networks for Determining Protein Specificity and Multiple Alignment of Binding Sites
Weuse a quantitative definition of specificity to developa neural networkfor the identification of commonprotein binding sites in a collection of unaligned DNAfragments. Wedemonst...
John M. Heumann, Alan S. Lapedes, Gary D. Stormo
CGF
2005
252views more  CGF 2005»
15 years 6 months ago
Support Vector Machines for 3D Shape Processing
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
Florian Steinke, Bernhard Schölkopf, Volker B...