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» Computability of Models for Sequence Assembly
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CP
2006
Springer
15 years 10 months ago
: A Bottom-Up Approach for Solving Quantified CSPs
Abstract. Thanks to its extended expressiveness, the quantified constraint satisfaction problem (QCSP) can be used to model problems that are difficult to express in the standard C...
Guillaume Verger, Christian Bessière
ESANN
2006
15 years 8 months ago
Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD
We explore the capability of the Self Organizing Map for structured data (SOM-SD) to compress continuous time data recorded from a kinematic tree, which can represent a robot or an...
Jochen J. Steil, Risto Koiva, Alessandro Sperduti
CORR
2007
Springer
169views Education» more  CORR 2007»
15 years 6 months ago
Algorithmic Complexity Bounds on Future Prediction Errors
We bound the future loss when predicting any (computably) stochastic sequence online. Solomonoff finitely bounded the total deviation of his universal predictor M from the true d...
Alexey V. Chernov, Marcus Hutter, Jürgen Schm...
PR
2002
103views more  PR 2002»
15 years 6 months ago
Extracting moving shapes by evidence gathering
Many approaches can track objects moving in sequences of images but can su er in occlusion and noise, and often require initialisation. These factors can be handled by techniques ...
Michael G. Grant, Mark S. Nixon, Paul H. Lewis
EMNLP
2010
15 years 4 months ago
An Efficient Algorithm for Unsupervised Word Segmentation with Branching Entropy and MDL
This paper proposes a fast and simple unsupervised word segmentation algorithm that utilizes the local predictability of adjacent character sequences, while searching for a leaste...
Valentin Zhikov, Hiroya Takamura, Manabu Okumura