PPT-Expectation Maximization

Machine Learning Last Time Expectation Maximization Gaussian Mixture Models Today EM Proof Jensens Inequality Clustering sequential data EM over HMMs EM in any Graphical Model Gibbs Sampling. Hongning Wang. CS@UVa. Today’s lecture. k. -means clustering . A typical . partitional. . clustering . algorithm. Convergence property. Expectation Maximization algorithm. Gaussian mixture model. . Mixture Models and Expectation Maximization. Machine Learning. Last Time. Review of Supervised Learning. Clustering. K-means. Soft K-means. Today. Gaussian Mixture Models. Expectation Maximization. The Problem. Machine . Learning . 10-601. , Fall . 2014. Bhavana. . Dalvi. Mishra. PhD student LTI, CMU. Slides are based . on materials . from . Prof. . Eric Xing, Prof. . . William Cohen and Prof. Andrew Ng. SALOME’S SPIRITUALITY. HOPE & EXPECTATION. I. She desires her sons to be . IN. the Kingdom. HOPE & EXPECTATION. II. She desires her . sons . to be . INVOLVED. in the Kingdom. HOPE & EXPECTATION. Maximum Likelihood (ML) Model. Introduction. . Alternative Splicing. Simulation Setup: . human genome data (UCSC hg18) . UCSC database - 66, 803 . isoforms. 19, 372 genes, Single error-free reads: 60M of length 100bp. Profit-Maximization. Economic Profit. A firm uses inputs j = 1…,m to make products i = 1,…n.. Output levels are y. 1. ,…,y. n. .. Input levels are x. 1. ,…,x. m. .. Product prices are p. 1. ,…,p. Machine . Learning . 10-601. , Fall . 2014. Bhavana. . Dalvi. Mishra. PhD student LTI, CMU. Slides are based . on materials . from . Prof. . Eric Xing, Prof. . . William Cohen and Prof. Andrew Ng. Pursue . Excellence . – Be the best. Expectation Cards. At Castle View we expect our students to conduct themselves in an exemplary manner at all times and to follow the school rules. . To help students with this, we have introduced an expectation card that all . 1. Matt Gormley. Lecture . 24. November 21, 2016. School of Computer Science. Readings:. 10-601B Introduction to Machine Learning. Reminders. Final . Exam. in-. class. . Wed. ., . Dec. . 7. 2. Outline. PSET2. Concepts. The main functioning system of the economy. Concepts. Traditional Approach. Medium Run. Short Run. Lucas’s Critique. Rational Expectation. Fisher+ Taylor’s approach. Limitation to Rational Expectations. Mean. Breadth. . of. . distribution. 　.  . Breadth. . of. . distribution. 　.  . Breadth. . of. . distribution. 　.  .  . Number of trials. . Times of A.  .  . Calculation of mean.  . contains. The value of 27 is relatively large compared to the closeness in range of the other values in the set. For this question, you were supposed to check out the chart from Let B-Cell . Lymphoma (DLBCL) Patients, . 1983 . – 2014. results from . analysis of US SEER data. Ron . Dewar, . Registry and . Analytics,. Nova Scotia Health Authority (Canada). Nadia . Howlader. , Angela . . The costs that an organization incurs even when there is little or no activity are . fixed costs. , or . overhead. .. Finding Marginal Cost. . Variable costs . are usually associated with labor and raw materials and change with the business’s rate of operation or output..