281 search results - page 20 / 57 » Learning to Apply Theory of Mind |
AIR
2006
13 years 7 months ago
2006
Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
ISVC
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Linear systems and eigen-calculations on symmetric diagonally dominant matrices (SDDs) occur ubiquitously in computer vision, computer graphics, and machine learning. In ...
EMNLP
2008
13 years 9 months ago
2008
This paper presents a graph-theoretic model of the acquisition of lexical syntactic representations. The representations the model learns are non-categorical or graded. We propose...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
We consider the problem of finding optimal strategies in infinite extensive form games with incomplete information that are repeatedly played. This problem is still open in lite...