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Training Hidden Markov Models with Multiple Observations-A Combinatorial Method.

, , and . IEEE Trans. Pattern Anal. Mach. Intell., 22 (4): 371-377 (2000)

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Experiments on Eigenfaces Robustness., and . ICPR (1), page 421-424. IEEE Computer Society, (2002)Open BEAGLE: A New C++ Evolutionary Computation Framework., and . GECCO, page 888. Morgan Kaufmann, (2002)Black-box optimization of sensor placement with elevation maps and probabilistic sensing models., , , and . ROSE, page 89-94. IEEE, (2011)DEAP: evolutionary algorithms made easy., , , , and . J. Mach. Learn. Res., (2012)Machine vs humans in a cursive script reading experiment without linguistic knowledge., and . ICPR (2), page 93-98. IEEE, (1994)Estimation of distribution algorithm based on hidden Markov models for combinatorial optimization., , and . GECCO (Companion), page 53-54. ACM, (2013)The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities., , , , , , , , , and 43 other author(s). CoRR, (2018)Efficient Sensor Placement Optimization Using Gradient Descent and Probabilistic Coverage., , , and . Sensors, 14 (8): 15525-15552 (2014)The Agile Stereo Pair for active vision., , , , , and . Mach. Vis. Appl., 17 (1): 32-50 (2006)Genericity in Evolutionary Computation Software Tools: Principles and Case-study., and . International Journal on Artificial Intelligence Tools, 15 (2): 173-194 (2006)