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» A new objective function for sequence labeling
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COCOA
2007
Springer
15 years 3 months ago
A New Dynamic Programming Algorithm for Multiple Sequence Alignment
Abstract. Multiple sequence alignment (MSA) is one of the most basic and central tasks for many studies in modern biology. In this paper, we present a new progressive alignment alg...
Jean-Michel Richer, Vincent Derrien, Jin-Kao Hao
ICML
2005
IEEE
15 years 10 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
GECCO
2003
Springer
148views Optimization» more  GECCO 2003»
15 years 2 months ago
Structural and Functional Sequence Test of Dynamic and State-Based Software with Evolutionary Algorithms
Evolutionary Testing (ET) has been shown to be very successful for testing real world applications [10]. The original ET approach focusesonsearching for a high coverage of the test...
André Baresel, Hartmut Pohlheim, Sadegh Sad...
ISBI
2006
IEEE
15 years 10 months ago
Functional brain mapping with high-temporal resolution: introducing "evolutionary activation cells"
Functional image sequences obtained from image reconstruction techniques applied to Magneto and Electroencephalography (M/EEG) data convey a large amount of information in the spa...
Florence Gombert, Sylvain Baillet
DFT
2002
IEEE
127views VLSI» more  DFT 2002»
15 years 2 months ago
A New Functional Fault Model for FPGA Application-Oriented Testing
1 The objective of this paper is to propose a new fault model suitable for test pattern generation for an FPGA configured to implement a given application. The paper demonstrates t...
Maurizio Rebaudengo, Matteo Sonza Reorda, Massimo ...