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» The Dark Side of Object Learning: Learning Objects
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ICML
2001
IEEE
16 years 4 months ago
Direct Policy Search using Paired Statistical Tests
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
Malcolm J. A. Strens, Andrew W. Moore
124
Voted
ICML
2000
IEEE
16 years 4 months ago
Discovering Test Set Regularities in Relational Domains
Machine learning typically involves discovering regularities in a training set, then applying these learned regularities to classify objects in a test set. In this paper we presen...
Seán Slattery, Tom M. Mitchell
OSDI
2008
ACM
16 years 4 months ago
From Optimization to Regret Minimization and Back Again
Internet routing is mostly based on static information-it's dynamicity is limited to reacting to changes in topology. Adaptive performance-based routing decisions would not o...
Ioannis C. Avramopoulos, Jennifer Rexford, Robert ...
AIED
2009
Springer
15 years 10 months ago
What Students Expect May Have More Impact Than What They Know or Feel
Researchers of educational technologies are often asked to do the impossible: make students learn and have them enjoy it. These two objectives, though not mutually exclusive, are f...
G. Tanner Jackson, Arthur C. Graesser, Danielle S....
ECTEL
2007
Springer
15 years 10 months ago
Model Driven E-Learning Platform Integration
The success of the e-learning paradigm observed in recent times created a growing demand for e-learning systems in universities and other educational institutions, that itself led ...
Zuzana Bizonova