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» Learning Complex Population-Coded Sequences
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COLT
2003
Springer
14 years 2 months ago
Sequence Prediction Based on Monotone Complexity
This paper studies sequence prediction based on the monotone Kolmogorov complexity Km=−log m, i.e. based on universal deterministic/one-part MDL. m is extremely close to Solomon...
Marcus Hutter
ALT
2003
Springer
14 years 6 months ago
Intrinsic Complexity of Uniform Learning
Inductive inference is concerned with algorithmic learning of recursive functions. In the model of learning in the limit a learner successful for a class of recursive functions mus...
Sandra Zilles
ICML
2006
IEEE
14 years 10 months ago
Combining discriminative features to infer complex trajectories
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
David A. Ross, Simon Osindero, Richard S. Zemel
SARA
2005
Springer
14 years 2 months ago
Learning Regular Expressions from Noisy Sequences
Abstract. The presence of long gaps dramatically increases the difficulty of detecting and characterizing complex events hidden in long sequences. In order to cope with this proble...
Ugo Galassi, Attilio Giordana
ICML
2009
IEEE
14 years 10 months ago
Learning non-redundant codebooks for classifying complex objects
Codebook-based representations are widely employed in the classification of complex objects such as images and documents. Most previous codebook-based methods construct a single c...
Wei Zhang, Akshat Surve, Xiaoli Fern, Thomas G. Di...