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ICANN
2001
Springer
15 years 8 months ago
Online Symbolic-Sequence Prediction with Discrete-Time Recurrent Neural Networks
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...
Juan Antonio Pérez-Ortiz, Jorge Calera-Rubi...
ATAL
2007
Springer
15 years 10 months ago
Sharing experiences to learn user characteristics in dynamic environments with sparse data
This paper investigates the problem of estimating the value of probabilistic parameters needed for decision making in environments in which an agent, operating within a multi-agen...
David Sarne, Barbara J. Grosz
ASAP
2007
IEEE
150views Hardware» more  ASAP 2007»
15 years 7 months ago
Customizing Reconfigurable On-Chip Crossbar Scheduler
We present a design of a customized crossbar scheduler for on-chip networks. The proposed scheduler arbitrates on-demand interconnects, where physical topologies are identical to ...
Jae Young Hur, Todor Stefanov, Stephan Wong, Stama...
CLIN
2004
15 years 5 months ago
Learning Dutch Coreference Resolution
This paper presents a machine learning approach to the resolution of coreferential relations between nominal constituents in Dutch. It is the first significant automatic approach ...
Véronique Hoste, Walter Daelemans
CSL
2006
Springer
15 years 3 months ago
A study in machine learning from imbalanced data for sentence boundary detection in speech
Enriching speech recognition output with sentence boundaries improves its human readability and enables further processing by downstream language processing modules. We have const...
Yang Liu, Nitesh V. Chawla, Mary P. Harper, Elizab...