What the reader should know to understand this chapter • Bayes decision theory (Chap. 5). • Lagrange multipliers and conditional optimization problems (Chap. 9). • Probability and statistics (Appendix A).
Markovian models for sequential data
CAMASTRA, Francesco;Vinciarelli, Alessandro
2015-01-01
Abstract
What the reader should know to understand this chapter • Bayes decision theory (Chap. 5). • Lagrange multipliers and conditional optimization problems (Chap. 9). • Probability and statistics (Appendix A).File in questo prodotto:
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