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AGI
2008
15 years 3 months ago
VARIAC: an Autogenous Cognitive Architecture
Learning theory and programs to date are inductively bounded: they can be described as "wind-up toys" which can only learn the kinds of things that their designers envisi...
J. Storrs Hall
131
Voted
ECOOP
2010
Springer
15 years 6 months ago
The Essence of JavaScript
We reduce JavaScript to a core calculus structured as a small-step operational semantics. We present several peculiarities of the language and show that our calculus models them. W...
Arjun Guha, Claudiu Saftoiu, Shriram Krishnamurthi
97
Voted
ECTEL
2010
Springer
15 years 14 days ago
A Framework for the Domain-Independent Collection of Attention Metadata
Abstract. We present a simple and extendible framework to collect attention metadata and store them for further analysis. Currently, several metadata collectors have been implement...
Maren Scheffel, Martin Friedrich, Katja Niemann, U...
122
Voted
COLT
1993
Springer
15 years 6 months ago
Parameterized Learning Complexity
We describe three applications in computational learning theory of techniques and ideas recently introduced in the study of parameterized computational complexity. (1) Using param...
Rodney G. Downey, Patricia A. Evans, Michael R. Fe...
ILP
2007
Springer
15 years 8 months ago
Beyond Prediction: Directions for Probabilistic and Relational Learning
Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
David D. Jensen