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ALT
2005
Springer
14 years 7 months ago
PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
We consider the problem of PAC-learning distributions over strings, represented by probabilistic deterministic finite automata (PDFAs). PDFAs are a probabilistic model for the gen...
Nick Palmer, Paul W. Goldberg
ISBRA
2009
Springer
14 years 5 months ago
Integrating Multiple-Platform Expression Data through Gene Set Features
Abstract. We demonstrate a set-level approach to the integration of multiple platform gene expression data for predictive classification and show its utility for boosting classi...
Matej Holec, Filip Zelezný, Jirí Kl&...
IROS
2009
IEEE
154views Robotics» more  IROS 2009»
14 years 5 months ago
A control-based approach to task-constrained motion planning
Abstract— We consider the problem of planning collisionfree motions for general (i.e., possibly nonholonomic) redundant robots subject to task space constraints. Previous approac...
Giuseppe Oriolo, Marilena Vendittelli
ECML
2007
Springer
14 years 4 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou
PCI
2001
Springer
14 years 2 months ago
An Experimental Evaluation of a Monte-Carlo Algorithm for Singular Value Decomposition
We demonstrate that an algorithm proposed by Drineas et. al. in [7] to approximate the singular vectors/values of a matrix A, is not only of theoretical interest but also a fast, v...
Petros Drineas, Eleni Drinea, Patrick S. Huggins