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» Kernel methods for learning languages
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GECCO
2005
Springer
204views Optimization» more  GECCO 2005»
14 years 2 months ago
Modeling systems with internal state using evolino
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Daan Wierstra, Faustino J. Gomez, Jürgen Schm...
ANLP
2000
109views more  ANLP 2000»
13 years 10 months ago
A Classification Approach to Word Prediction
The eventual goal of a language model is to accurately predict the value of a missing word given its context. We present an approach to word prediction that is based on learning a...
Yair Even-Zohar, Dan Roth
SIGCSE
2005
ACM
163views Education» more  SIGCSE 2005»
14 years 2 months ago
Using SeSFJava in teaching introductory network courses
Networking course projects are usually described by an informal specification and a collection of test cases. Students often misunderstand the specification or oversimplify it t...
Tamer Elsharnouby, A. Udaya Shankar
LCTRTS
2005
Springer
14 years 2 months ago
Complementing software pipelining with software thread integration
Software pipelining is a critical optimization for producing efficient code for VLIW/EPIC and superscalar processors in highperformance embedded applications such as digital sign...
Won So, Alexander G. Dean
DSMML
2004
Springer
14 years 16 days ago
Efficient Communication by Breathing
The arithmetic-coding-based communication system, Dasher, can be driven by a one-dimensional continuous signal. A belt-mounted breath-mouse, delivering a signal related to lung vol...
Tom Shorrock, David MacKay, Chris Ball