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» Bayesian learning of measurement and structural models
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JUCS
2007
90views more  JUCS 2007»
14 years 11 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
15 years 1 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
15 years 1 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»
14 years 6 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
15 years 4 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