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» Learning Overcomplete Representations
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ICML
2003
IEEE
16 years 7 months ago
Weighted Low-Rank Approximations
We study the common problem of approximating a target matrix with a matrix of lower rank. We provide a simple and efficient (EM) algorithm for solving weighted low-rank approximat...
Nathan Srebro, Tommi Jaakkola
AIED
2009
Springer
16 years 1 months ago
From Conceptual Models to Agent-based Simulations: Why and How
The core problem we address in this paper is how to take a declarative conceptual representation of a complex system and produce an agent-based simulation of that model. In particu...
Swaroop Vattam, Ashok K. Goel, Spencer Rugaber, Ci...
CANDC
2009
ACM
16 years 1 months ago
A sub-symbolic model of the cognitive processes of re-representation and insight
We present a sub-symbolic computational model for effecting knowledge re-representation and insight. Given a set of data, manifold learning is used to automatically organize the d...
Dan Ventura
ECML
2007
Springer
16 years 20 days ago
Optimizing Feature Sets for Structured Data
Choosing a suitable feature representation for structured data is a non-trivial task due to the vast number of potential candidates. Ideally, one would like to pick a small, but in...
Ulrich Rückert, Stefan Kramer
AIED
2005
Springer
16 years 1 days ago
Teaching about Dynamic Processes A Teachable Agents Approach
This paper discusses the extensions that we have made to Betty’s Brain teachable agent system to help students learn about dynamic processes in a river ecosystem. Students first ...
Ruchi Gupta, Yanna Wu, Gautam Biswas