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EDBT
2004
ACM
142views Database» more  EDBT 2004»
14 years 5 months ago
Iterative Incremental Clustering of Time Series
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dim...
KES
2004
Springer
13 years 11 months ago
Fuzzy Kolmogorov's Network
A spline-based modification of the previously developed Neuro-Fuzzy Kolmogorov's Network (NFKN) is proposed. In order to improve the approximation accuracy, cubic B-splines ar...
Vitaliy Kolodyazhniy, Yevgeniy Bodyanskiy
BMCBI
2010
101views more  BMCBI 2010»
13 years 5 months ago
Hidden Markov model speed heuristic and iterative HMM search procedure
Background: Profile hidden Markov models (profile-HMMs) are sensitive tools for remote protein homology detection, but the main scoring algorithms, Viterbi or Forward, require con...
L. Steven Johnson, Sean R. Eddy, Elon Portugaly
VIS
2008
IEEE
175views Visualization» more  VIS 2008»
14 years 7 months ago
Generation of Accurate Integral Surfaces in Time-Dependent Vector Fields
We present a novel approach for the direct computation of integral surfaces in general vector fields. As opposed to previous work, which we analyze in detail, our approach is based...
Christoph Garth, Hari Krishnan, Xavier Tricoche,...
ATMOS
2007
177views Optimization» more  ATMOS 2007»
13 years 7 months ago
Approximate dynamic programming for rail operations
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
Warren B. Powell, Belgacem Bouzaïene-Ayari