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ALT
2006
Springer
16 years 3 months ago
Learning Linearly Separable Languages
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
ISPAN
2008
IEEE
16 years 1 months ago
M-Ring: A Distributed, Self-Organized, Load-Balanced Communication Method on Super Peer Network
- Many peer-to-peer file sharing systems have been proposed to take the locality and heterogeneity into account. The two-layered architecture is one of the most widespread systems ...
Tsung-Han Lin, Tsung-Hsuan Ho, Yu-Wei Chan, Yeh-Ch...
EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
16 years 29 days ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
WCE
2007
15 years 8 months ago
Sparse Matrix Multiplication Using UPC
—Partitioned global address space (PGAS) languages, such as Unified Parallel C (UPC) have the promise of being productive. Due to the shared address space view that they provide,...
Hoda El-Sayed, Eric Wright
ATAL
2010
Springer
15 years 8 months ago
Linear options
Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...
Jonathan Sorg, Satinder P. Singh