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HIS
2004
15 years 3 months ago
Reinforcement Learning Hierarchical Neuro-Fuzzy Politree Model for Control of Autonomous Agents
: This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence...
Karla Figueiredo, Marley B. R. Vellasco, Marco Aur...
AR
2007
105views more  AR 2007»
15 years 2 months ago
Reinforcement learning of a continuous motor sequence with hidden states
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...
191
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IR
2011
14 years 9 months ago
Learning to rank for why-question answering
In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivate...
Suzan Verberne, Hans van Halteren, Daphne Theijsse...

Book
262views
16 years 10 months ago
Processing XML with Java
"This is the most comprehensive and up-to-date book about integrating XML with Java. It contains over 1000 pages of detailed information on SAX, DOM, JDOM, JAXP, TrAX, XPath, ...
Elliotte Rusty Harold
SIGCSE
2010
ACM
164views Education» more  SIGCSE 2010»
15 years 9 months ago
A breadth-first course in multicore and manycore programming
The technique of scaling hardware performance through increasing the number of cores on a chip requires programmers to learn to write parallel code that can exploit this hardware....
Suzanne Rivoire