PPT-Maximum Likelihood-Maximum Entropy Duality

Session 1 Pushpak Bhattacharyya Scribed by Aditya Joshi Presented in NLPAI talk on 14 th January 2014 PhenomenonEvent could be a linguistic process such as POS tagging or sentiment prediction. Since entropy is a property, . the entropy change between two specified states . does not depend on the process . (reversible or irreversible). that occurs between the two states.. However, to evaluate entropy change by the above definition a reversible process has to be imagined connecting the initial and final states and integration has to be carried along its path.. Entropy is an essential component in . Δ. G and must be considered in order to model many chemical processes, including protein folding, and protein – ligand binding. Conformational Entropy. – relates to changes in entropy that arise from changes in molecular shape or dynamics. 6.04. What does ‘Spontaneous’ Mean in Chemistry?. A spontaneous change is a change in a system that proceeds without a net input of energy from an outside source.. Needs some activation energy to get started. Lecture XX. Reminder from Information Theory. Mutual Information: . . Conditional Mutual Information: . . Entropy: Conditional Mutual Information: . . Scoring Maximum Likelihood Function. When scoring function is the Maximum Likelihood, the model would make the data as probable as possible by choosing the graph structure that would produce the highest score for the MLE estimate of the parameter, we define:. See Davison Ch. 4 for background and a more thorough discussion.. Sometimes. See last slide for copyright information. Maximum Likelihood. Sometimes. Close your eyes and differentiate?. Simulate Some Data: True α=2, β=3. Iftach Haitner. Microsoft Research. Omer Reingold. . Weizmann & Microsoft. Hoeteck Wee. Queens College, CUNY. Salil Vadhan. . Harvard University. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . Tds relations relate properties of any pure substance exactly to entropy change. But it is not convenient to use them.. Instead tabulated data for . s. are used, e.g.. Table B.1. for water.. Table B.5 for refrigerant R134a. (Exercises 1-6 in section 17.5). Problem: . Time-consuming picking 1. st. -arrival traveltimes . and inverting.. Solution. : Early arrival waveform inversion (EWI). New Problem: . Estimate wavelet, edit traces, trial&error . support vector machines, conditional random . fields,. NEURAL networks. Heng. . Ji. jih@rpi.edu. 04/12, 04/15, 2016. 2. Maximum Entropy. 3. Maximum Entropy is a technique for learning probability distributions from data. S. hipra. S. inha. OMICS International Conference on Geology. Department of Geology and Geophysics. Indian Institute of Technology, . Kharagpur, India. A. genda. Research Objective. Study Area. Methodology followed. Sometimes. See last slide for copyright information. Maximum Likelihood. Sometimes. Close your eyes and differentiate?. Simulate Some Data: True α=2, β=3. Alternatives for getting the data into D might be. Siye Wu (KITP Langlands Duality 8-8-08) S-duality in Vafa-Witten theoryPage 2 Siye Wu (KITP Langlands Duality 8-8-08) S-duality in Vafa-Witten theoryPage 3 Siye Wu (KITP Langlands Duality 8-8-08) S-du Siye Wu KITP Langlands Duality 8-8-08 S-duality in Vafa-Witten theoryPage 2Siye Wu KITP Langlands Duality 8-8-08 S-duality in Vafa-Witten theoryPage 3Siye Wu KITP Langlands Duality 8-8-08 S-duality in Le Gal F, Gault E, Ripault M, Serpaggi J, Trinchet J, Gordien E, et al. Eighth Major Clade for Hepatitis Delta Virus. Emerg Infect Dis. 2006;12(9):1447-1450. https://doi.org/10.3201/eid1209.060112.