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» Improving EAs for Sequencing Problems
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BIBE
2005
IEEE
126views Bioinformatics» more  BIBE 2005»
14 years 2 months ago
Highly Scalable and Accurate Seeds for Subsequence Alignment
We propose a method for finding seeds for the local alignment of two nucleotide sequences. Our method uses randomized algorithms to find approximate seeds. We present a dynamic ...
Abhijit Pol, Tamer Kahveci
NIPS
2007
13 years 10 months ago
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
IEEEMSP
2002
IEEE
117views Multimedia» more  IEEEMSP 2002»
14 years 2 months ago
Hidden Markov model for automatic transcription of MIDI signals
— This paper describes a Hidden Markov Model (HMM)-based method of automatic transcription of MIDI (Musical Instrument Digital Interface) signals of performed music. The problem ...
Haruto Takeda, Naoki Saito, Tomoshi Otsuki, Mitsur...
AAAI
2008
13 years 11 months ago
An Efficient Motion Planning Algorithm for Stochastic Dynamic Systems with Constraints on Probability of Failure
When controlling dynamic systems, such as mobile robots in uncertain environments, there is a trade off between risk and reward. For example, a race car can turn a corner faster b...
Masahiro Ono, Brian C. Williams
ACL
2012
11 years 11 months ago
Grammar Error Correction Using Pseudo-Error Sentences and Domain Adaptation
This paper presents grammar error correction for Japanese particles that uses discriminative sequence conversion, which corrects erroneous particles by substitution, insertion, an...
Kenji Imamura, Kuniko Saito, Kugatsu Sadamitsu, Hi...