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AAAI
2010
13 years 10 months ago
Integrating Sample-Based Planning and Model-Based Reinforcement Learning
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...
EDM
2008
193views Data Mining» more  EDM 2008»
13 years 10 months ago
Can we predict which groups of questions students will learn from?
In a previous study ([4]), we used the ASSISTment system to track student knowledge longitudinally over the course of a schools year, based upon each student using our system about...
Mingyu Feng, Neil T. Heffernan, Joseph E. Beck, Ke...
IADIS
2008
13 years 10 months ago
Usability Evaluation Of The Moodle System From The Teachers' Perspective
This article presents an empirical study performed to evaluate the Moodle usability, from the point of view of teachers who are using this system to support their classes. The usa...
Tereza G. Kirner, Carlos de A. Custódio, Cl...
NIPS
2008
13 years 10 months ago
Privacy-preserving logistic regression
This paper addresses the important tradeoff between privacy and learnability, when designing algorithms for learning from private databases. We focus on privacy-preserving logisti...
Kamalika Chaudhuri, Claire Monteleoni
IIS
2000
13 years 10 months ago
Speeding Up Evolution through Learning: LEM
This paper reports briefly on the development of a new approach to evolutionary computation, called the Learnable Evolution Model or LEM. In contrast to conventional Darwinian-typ...
Ryszard S. Michalski, Guido Cervone, Kenneth A. Ka...