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» Bayesian learning of measurement and structural models
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JUCS
2007
90views more  JUCS 2007»
13 years 8 months ago
Distance Learning and Student Satisfaction in Java Programming Courses
: Student satisfaction with distance learning is impacted by a variety of factors, including interaction with the instructor and the structure of the course. Satisfaction with dist...
Amber Settle, Chad Settle
IJCAI
1997
13 years 10 months ago
Learning Topological Maps with Weak Local Odometric Information
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
Hagit Shatkay, Leslie Pack Kaelbling
WSC
2000
13 years 10 months ago
Simply Simulation: an interactive CD-ROM-based approach for learning simulation concepts
The purpose of this paper is to introduce a new approach to teaching an introductory simulation course using an interactive CD-ROM titled "Simply Simulation". This metho...
Connie Nott, Graham Nott, C. Christopher Lee
CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 4 months ago
Mixed-Membership Stochastic Block-Models for Transactional Networks
Abstract: Transactional network data can be thought of as a list of oneto-many communications (e.g., email) between nodes in a social network. Most social network models convert th...
Mahdi Shafiei, Hugh Chipman
ECSQARU
2001
Springer
14 years 1 months ago
Caveats for Causal Reasoning with Equilibrium Models
In this paper we examine the ability to perform causal reasoning with equilibrium models. We explicate a postulate, which we term the Manipulation Postulate, that is required in o...
Denver Dash, Marek J. Druzdzel