Probablistic Graphical Models IPU IT notes and question paper free download - Printable Version +- studentsuvidha (https://studentsuvidha.com/forum) +-- Forum: Student Stuffs (https://studentsuvidha.com/forum/Forum-Student-Stuffs) +--- Forum: Indraprastha University IPU notes and papers (https://studentsuvidha.com/forum/Forum-Indraprastha-University-IPU-notes-and-papers) +---- Forum: IPU B.tech/ B.E. papers and Notes -free downloads (https://studentsuvidha.com/forum/Forum-IPU-B-tech-B-E-papers-and-Notes-free-downloads) +----- Forum: IPU B.tech/ B.E. IT papers and Notes -free downloads (https://studentsuvidha.com/forum/Forum-IPU-B-tech-B-E-IT-papers-and-Notes-free-downloads) +------ Forum: 7th semester IPU B.tech IT papers and Notes -free download (https://studentsuvidha.com/forum/Forum-7th-semester-IPU-B-tech-IT-papers-and-Notes-free-download) +------ Thread: Probablistic Graphical Models IPU IT notes and question paper free download (/Thread-Probablistic-Graphical-Models-IPU-IT-notes-and-question-paper-free-download) |
Probablistic Graphical Models IPU IT notes and question paper free download - Dipesh S - 05-01-2017 SYLLABUS:- UNIT-I Bayesian network, Examples (HMM, diagnostic system, etc.), Separation and independence, Markov properties and minimalism, Markov network, Examples (Boltzmann machine, Markov random field, etc.), Cliques and potentials, Markov properties UNIT-II Exact inference, Complexity, Bucket elimination, Junction tree, Belief propagation (message passing), Application to HMM, Sum- and Max-product algorithms. UNIT-III Parameter learning, Exponential family, Bayesian learning, Expectation-Maximization (EM) UNIT-IV Approximate inference, Convexity, Mean field approach, Structured variational method, Loopy belief propagation, Characterization of solution spaces, Sampling methods. |