1.A N O V E R V I E W O F L I T E R A T U R E A N D P R O B L E MS T A T E M E N T S A R O U N D S E N S I T I V I T Y A N DI N T E R E S T I N G N E S S I N B E L I E F…

1. Graphical ModelsFactor Graphs Test-time Inference Training Part 2: Introduction to Graphical Models Sebastian Nowozin and Christoph H. Lampert Colorado Springs, 25th June…

1. Relational Learning with Gaussian Processes ByWei Chu, Vikas Sindhwani, Zoubin Ghahramani, S.Sathiya Keerthi (Columbia, Chicago, Cambridge, Yahoo!) Presented by Nesreen…

SITE CHARACTERIZATION & INSTRUMENTATION MODULE 8 Dr. P. Anbazhagan Page 1 Module 8: Numerical methods Topics:  Introduction  Kriging  Artificial neural networks…

An Introduction to Graphical Models Michael I. Jordan University of California, Berkeley Christopher M. Bishop Microsoft Research November 5, 2000 2 Chapter 2 Basic Concepts—Joint…

1. Deep learning from a novice perspective and recent innovations from KGPians Anirban Santara Doctoral Research Fellow Department of CSE, IIT Kharagpur bit.do/AnirbanSantara…

Slide 1A*-tree: A Structure for Storage and Modeling of Uncertain Multidimensional Arrays Presented by: ZHANG Xiaofei March 2, 2011 Slide 2 Outline Motivation Modeling correlated…

Slide 1 Dimension reduction (1) Overview PCA Factor Analysis EDR space SIR References: Applied Multivariate Analysis. http://www.stat.ucla.edu/~kcli/sir-PHD.pdf Slide 2 Overview…

Slide 1 Bayesian Network Model for Evaluation of Ecological River Construction M. Arshad Awan Slide 2 Bayesian Network A probabilistic graphical model that represents a set…

Slide 1 Bayesian Networks VISA Hyoungjune Yi Slide 2 BN – Intro. Introduced by Pearl (1986 ) Resembles human reasoning Causal relationship Decision support system/ Expert…