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IJCNN
2000
IEEE
13 years 10 months ago
Bi-Causal Recurrent Cascade Correlation
Recurrent neural networks fail to deal with prediction tasks which do not satisfy the causality assumption. We propose to exploit bi-causality to extend the Recurrent Cascade Corr...
Alessio Micheli, Diego Sona, Alessandro Sperduti
CCS
2010
ACM
13 years 5 months ago
Algebraic pseudorandom functions with improved efficiency from the augmented cascade
We construct an algebraic pseudorandom function (PRF) that is more efficient than the classic NaorReingold algebraic PRF. Our PRF is the result of adapting the cascade constructio...
Dan Boneh, Hart William Montgomery, Ananth Raghuna...
IALP
2009
13 years 3 months ago
A Modular Cascaded Approach to Complete Parsing
In this paper, we propose a modular cascaded approach to data driven dependency parsing. Each module or layer leading to the complete parse produces a linguistically valid partial...
Samar Husain, Phani Gadde, Bharat Ram Ambati, Dipt...
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
13 years 7 months ago
Patterns of Cascading Behavior in Large Blog Graphs
How do blogs cite and influence each other? How do such links evolve? Does the popularity of old blog posts drop exponentially with time? These are some of the questions that we ...
Jure Leskovec, Mary McGlohon, Christos Faloutsos, ...
WWW
2009
ACM
14 years 6 months ago
The recurrence dynamics of social tagging
How often do tags recur? How hard is predicting tag recurrence? What tags are likely to recur? We try to answer these questions by analysing the RSDC08 dataset, in both individual...
Dell Zhang, Robert Mao, Wei Li