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Machine Learning: Characterize Hidden Markov Support Vector Machines

Given this paper on Hidden Markov Support Vector Machines: [url removed, login to view]~th/papers/[url removed, login to view], I need to:

- compare HM-SVM to some othe models (details given privately)

- analyse its computational complexity (again, details provided privately)

Kemahiran: Pembelajaran Mesin, Matematik, Statistik

Lihat lebih lanjut: machine learning hidden markov svm, its learning, computational complexity, complexity computational, statistics paper, othe, machine learning\ , hm, hidden markov models, computational, c++ machine learning, svm statistics, vector paper, perl support vector machine, support vector machine neural network matlab, support vector machine, support vector machine perl, support vector machine regression matlab, HIDDEN MARKOV, matlab support vector machine regression, data classification using support vector machine, support vector machines excel vba, machines, compare paper, support vector machine vba excel

Tentang Majikan:
( 0 ulasan ) Targu Mures, Romania

ID Projek: #4075672

Dianugerahkan kepada:

johriarpit

hello please check your PM. REGARDS

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katsen

Hello! I am physicist with PhD, i am experienced in statistics as well. I have been working with such methods as boosted decision trees, neural networks, support vector machines, fisher discrimination, likelihood m Lagi

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msk302

Hi I have experience in handling HMM, GMM and Neural networks as well.. let me know how you want to take this further

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