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» On the Complexity of Function Learning
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ALT
2000
Springer
16 years 1 months ago
On the Noise Model of Support Vector Machines Regression
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...
Massimiliano Pontil, Sayan Mukherjee, Federico Gir...
155
Voted
UAI
2000
15 years 5 months ago
Utilities as Random Variables: Density Estimation and Structure Discovery
Decision theory does not traditionally include uncertainty over utility functions. We argue that the a person's utility value for a given outcome can be treated as we treat o...
Urszula Chajewska, Daphne Koller
154
Voted
ESA
2003
Springer
116views Algorithms» more  ESA 2003»
15 years 9 months ago
Smoothed Motion Complexity
We propose a new complexity measure for movement of objects, the smoothed motion complexity. Many applications are based on algorithms dealing with moving objects, but usually data...
Valentina Damerow, Friedhelm Meyer auf der Heide, ...
BMCBI
2007
160views more  BMCBI 2007»
15 years 4 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
143
Voted
JUCS
2007
91views more  JUCS 2007»
15 years 4 months ago
Generative Instructional Engineering of Competence Development Programmes
: Competence development programmes are collections of units of learning and learning activities used to increase the overall effective performance of a learner within a certain ta...
Juan Manuel Dodero, Salvador Sánchez Alonso...