![Machine learning / Conditional random field / Pattern recognition / Supervised learning / Hidden Markov model / Support vector machine / Semi-supervised learning / Expectationmaximization algorithm / Mixture model / Artificial neural network / Viterbi algorithm Machine learning / Conditional random field / Pattern recognition / Supervised learning / Hidden Markov model / Support vector machine / Semi-supervised learning / Expectationmaximization algorithm / Mixture model / Artificial neural network / Viterbi algorithm](https://www.pdfsearch.io/img/a1739f8d0d9fd91a154933a27dd855b9.jpg) Date: 2008-05-05 15:25:20Machine learning Conditional random field Pattern recognition Supervised learning Hidden Markov model Support vector machine Semi-supervised learning Expectationmaximization algorithm Mixture model Artificial neural network Viterbi algorithm | | DETECTING UNSAFE DRIVING PATTERNS USING DISCRIMINATIVE LEARNING Yue Zhou†, Wei Xu‡, Huazhong Ning†, Yihong Gong‡, Thomas S. Huang† †Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61Add to Reading ListSource URL: www.ifp.illinois.eduDownload Document from Source Website File Size: 159,76 KBShare Document on Facebook
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