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» On Iterative Regularization and Its Application
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NECO
2000
86views more  NECO 2000»
15 years 1 months ago
A Bayesian Committee Machine
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
Volker Tresp
SAC
2002
ACM
15 years 1 months ago
Statistical properties of the simulated time horizon in conservative parallel discrete-event simulations
We investigate the universal characteristics of the simulated time horizon of the basic conservative parallel algorithm when implemented on regular lattices. This technique [1, 2]...
G. Korniss, M. A. Novotny, A. K. Kolakowska, H. Gu...
JDWM
2010
139views more  JDWM 2010»
15 years 12 days ago
Mining Frequent Generalized Patterns for Web Personalization in the Presence of Taxonomies
The Web is a continuously evolving environment, since its content is updated on a regular basis. As a result, the traditional usagebased approach to generate recommendations that ...
Panagiotis Giannikopoulos, Iraklis Varlamis, Magda...
BMVC
2010
15 years 1 hour ago
Generalized RBF feature maps for Efficient Detection
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
Sreekanth Vempati, Andrea Vedaldi, Andrew Zisserma...
IMCSIT
2010
14 years 12 months ago
On the implementation of public keys algorithms based on algebraic graphs over finite commutative rings
We will consider balanced directed graphs, i.e., graphs of binary relations, for which the number of inputs and number of outputs are the same for each vertex. The commutative diag...
Michal Klisowski, Vasyl Ustimenko