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96
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JMLR
2006
143views more  JMLR 2006»
14 years 10 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth
99
Voted
IPL
2002
119views more  IPL 2002»
14 years 10 months ago
Randomized splay trees: Theoretical and experimental results
Splay trees are self-organizing binary search trees that were introduced by Sleator and Tarjan [12]. In this paper we present a randomized variant of these trees. The new algorith...
Susanne Albers, Marek Karpinski
CORR
2010
Springer
39views Education» more  CORR 2010»
14 years 7 months ago
Non-redundant random generation from weighted context-free languages
We address the non-redundant random generation of k words of length n from a context-free language. Additionally, we want to avoid a predefined set of words. We study the limits of...
Yann Ponty
92
Voted
IANDC
2011
84views more  IANDC 2011»
14 years 5 months ago
Teaching randomized learners with feedback
The present paper introduces a new model for teaching randomized learners. Our new model, though based on the classical teaching dimension model, allows to study the influence of...
Frank J. Balbach, Thomas Zeugmann
100
Voted
ICANN
2005
Springer
15 years 3 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber