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ICML
2009
IEEE
15 years 11 months ago
A stochastic memoizer for sequence data
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Cédric Archambeau, Jan Gasthaus...
69
Voted
ICRA
2007
IEEE
148views Robotics» more  ICRA 2007»
15 years 4 months ago
Seamless Execution of Action Sequences
— One of the most notable and recognizable features of robot motion is the abrupt transitions between actions in action sequences. In contrast, humans and animals perform sequenc...
Freek Stulp, Wolfram Koska, Alexis Maldonado, Mich...
ASPDAC
2006
ACM
100views Hardware» more  ASPDAC 2006»
15 years 4 months ago
Generation of shorter sequences for high resolution error diagnosis using sequential SAT
Commonly used pattern sources in simulation-based verification include random, guided random, or design verification patterns. Although these patterns may help bring the design ...
Sung-Jui (Song-Ra) Pan, Kwang-Ting Cheng, John Moo...
SPIRE
2009
Springer
15 years 2 months ago
Faster Algorithms for Sampling and Counting Biological Sequences
Abstract. A set of sequences S is pairwise bounded if the Hamming distance between any pair of sequences in S is at most 2d. The Consensus Sequence problem aims to discern between ...
Christina Boucher
IPPS
2002
IEEE
15 years 3 months ago
Improving Performance of Multiple Sequence Alignment Analysis in Multi-Client Environments
This paper is concerned with the efficient execution of multiplesequence alignmentmethodsin a multipleclientenvironment. Multiple sequence alignment (MSA) is a computationally ex...
Ümit V. Çatalyürek, Eric Stahlber...