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1. Context Aware Resource Management in Multi-Inhabitant Smart Homes: A NashH -learning based Approach Nirmalya Roy, Abhishek Roy & Sajal K Das Presented by:Viraj BhatvirajbATcaip…

Documents Gene finding pipelines for automatic annotation of new eukaryotic and bacterial genomes Victor...

Slide 1Gene finding pipelines for automatic annotation of new eukaryotic and bacterial genomes Victor Solovyev Professor of computer science, Royal Holloway, University of…

Documents Bayesian Knowledge Tracing and Discovery with Models Ryan Shaun Joazeiro de Baker.

Slide 1Bayesian Knowledge Tracing and Discovery with Models Ryan Shaun Joazeiro de Baker Slide 2 The classic method for assessing student knowledge within learning software…

Documents Rise and Fall Patterns of Information Diffusion: Model and Implications Yasuko Matsubara (Kyoto...

Slide 1Rise and Fall Patterns of Information Diffusion: Model and Implications Yasuko Matsubara (Kyoto University), Yasushi Sakurai (NTT), B. Aditya Prakash (CMU), Lei Li…

Documents Bayesian Knowledge Tracing Prediction Models. Bayesian Knowledge Tracing.

Slide 1Bayesian Knowledge Tracing Prediction Models Slide 2 Bayesian Knowledge Tracing Slide 3 Goal Infer the latent construct – Does a student know skill X Slide 4 Goal…

Documents Improvements and extras Paul Thomas CSIRO. Overview of the lectures 1.Introduction to information...

Slide 1Improvements and extras Paul Thomas CSIRO Slide 2 Overview of the lectures 1.Introduction to information retrieval (IR) 2.Ranked retrieval 3.Probabilistic retrieval…

Documents Advanced Methods and Analysis for the Learning and Social Sciences PSY505 Spring term, 2012 January....

Slide 1Advanced Methods and Analysis for the Learning and Social Sciences PSY505 Spring term, 2012 January 30, 2012 Slide 2 Today’s Class Bayesian Knowledge Tracing Slide…

Technology Analysis of Nature-Inspried Optimization Algorithms

1.Analysis of Nature-Inspired Optimization Algorithms Xin-She Yang School of Science and Technology Middlesex University Seminar at Department of Mathematical Sciences University…

Documents Probabilistic models (part 1)

1. Text Data Mining (Part-1) PROBABILISTIC MODELS 2. Probabilistic Models for Text Mining  Introduction  Mixture Models  General Mixture Model Framework  Variations…

Education STUDENTS’ ATTITUDE TO M-LEARNING

1. Georgi Yadkov Assoc. prof. Veselina Penevska STUDENTS’ ATTITUDE TO M-LEARNING in the MA program “Management For Organizational Excellence” School of Management,…