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» On Learning Embedded Symmetric Concepts
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97
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SPAA
2004
ACM
15 years 2 months ago
Lower bounds for graph embeddings and combinatorial preconditioners
Given a general graph G, a fundamental problem is to find a spanning tree H that best approximates G by some measure. Often this measure is some combination of the congestion and...
Gary L. Miller, Peter C. Richter
AI
2004
Springer
14 years 9 months ago
Efficient learning equilibrium
Efficient Learning Equilibrium (ELE) is a natural solution concept for multi-agent encounters with incomplete information. It requires the learning algorithms themselves to be in ...
Ronen I. Brafman, Moshe Tennenholtz
TCS
2008
14 years 9 months ago
Kernel methods for learning languages
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
ADAEUROPE
2009
Springer
15 years 4 months ago
Weak Fairness Semantic Drawbacks in Java Multithreading
With the development of embedded and mobile systems, Java is widely used for application programs and is also considered for implementing systems kernel or application platforms. I...
Claude Kaiser, Jean-François Pradat-Peyre
94
Voted
ICTAI
2007
IEEE
15 years 3 months ago
CompoNet: Programmatically Embedding Neural Networks into AI Applications as Software Components
The provision of embedding neural networks into software applications can enable variety of Artificial Intelligence systems for individual users as well as organizations. Previous...
Uzair Ahmad, Andrey Gavrilov, Sungyoung Lee, Young...