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» Algorithmic randomness of continuous functions
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AAAI
2010
14 years 10 months ago
Algorithms for Finding Approximate Formations in Games
Many computational problems in game theory, such as finding Nash equilibria, are algorithmically hard to solve. This limitation forces analysts to limit attention to restricted su...
Patrick R. Jordan, Michael P. Wellman
ICML
2004
IEEE
15 years 3 months ago
Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
Hisashi Kashima, Yuta Tsuboi
ML
2000
ACM
105views Machine Learning» more  ML 2000»
14 years 9 months ago
Multiple Comparisons in Induction Algorithms
Abstract. A single mechanism is responsible for three pathologies of induction algorithms: attribute selection errors, overfitting, and oversearching. In each pathology, induction ...
David D. Jensen, Paul R. Cohen
CLUSTER
2011
IEEE
13 years 9 months ago
A mobility-based cluster formation algorithm for wireless mobile ad-hoc networks
  In the last decade, numerous efforts have been devoted to design efficient algorithms for clustering the  wireless mobile ad‐hoc networks (MANET) consider...
Javad Akbari Torkestani, Mohammad Reza Meybodi
BIBE
2007
IEEE
134views Bioinformatics» more  BIBE 2007»
15 years 4 months ago
Bottom-Up Multiple Row Addition Algorithms for the Biclustering-Problem
Abstract—The discovery of locally and significantly correlated subpatterns within a two-dimensional dataset has recently become quite popular and is amongst others addressed by ...
Hyung-Won Koh, Lars Hildebrand