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ICMLA
2010
15 years 1 months ago
Incremental Learning of Relational Action Rules
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Christophe Rodrigues, Pierre Gérard, C&eacu...
ACISP
2007
Springer
15 years 8 months ago
A New Strategy for Finding a Differential Path of SHA-1
In this paper, we propose a new construction algorithm for finding differential paths of Round 1 of SHA-1 for use in the collision search attack. Generally, the differential path o...
Jun Yajima, Yu Sasaki, Yusuke Naito, Terutoshi Iwa...
ICCV
2009
IEEE
1714views Computer Vision» more  ICCV 2009»
16 years 9 months ago
Power watersheds: a new image segmentation framework extending graph cuts, random walker and optimal spanning forest
In this work, we extend a common framework for seeded image segmentation that includes the graph cuts, ran- dom walker, and shortest path optimization algorithms. Viewing an ima...
Camille Couprie, Leo Grady, Laurent Najman, Hugues...
132
Voted
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 4 months ago
Time series shapelets: a new primitive for data mining
Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly suggested that the simple nearest neighbor algorithm ...
Lexiang Ye, Eamonn J. Keogh
CSR
2007
Springer
15 years 10 months ago
New Bounds for MAX-SAT by Clause Learning
To solve a problem on a given CNF formula F a splitting algorithm recursively calls for F[v] and F[¬v] for a variable v. Obviously, after the first call an algorithm obtains some...
Alexander S. Kulikov, Konstantin Kutzkov