Semisupervised learning of Hidden Markov models via a homotopy method

Mathematics

• Hidden Markov Models 100%
• Homotopy 19%
• Parameters 9%
• Maximum Likelihood 4%
• Local Optimum 4%
• Labeled Data 4%
• Selection 4%

Earth and Planetary Sciences

• Datum 9%
• Shape 9%
• Parameter 9%
• Model-Based Clustering 9%
• Formulation 4%
• Feasibility 4%
• Approach 4%
• Starting 4%
• Set 4%
• Condition 4%
• Tool 4%
• Selection 4%
• Probability Theory 4%
• Allocation 4%
• Balance 4%

Computer Science

• Unlabeled Data 14%
• Classifier Design 4%
• Probability 4%
• Fixed Point Equation 4%
• Semisupervised Learning 4%