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» Feature Generation Using General Constructor Functions
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SIAMREV
2010
170views more  SIAMREV 2010»
13 years 2 months ago
Network Properties Revealed through Matrix Functions
The newly emerging field of Network Science deals with the tasks of modelling, comparing and summarizing large data sets that describe complex interactions. Because pairwise affin...
Ernesto Estrada, Desmond J. Higham
CICLING
2008
Springer
13 years 10 months ago
Semantic and Syntactic Features for Dutch Coreference Resolution
We investigate the effect of encoding additional semantic and syntactic information sources in a classification-based machine learning approach to the task of coreference resolutio...
Iris Hendrickx, Véronique Hoste, Walter Dae...
AMC
2006
67views more  AMC 2006»
13 years 8 months ago
A general probabilistic model of the PCR process
Earlier work by Saha et al. rigorously derived a general probabilistic model for the PCR process that includes as a special case the Velikanov-Kapral model where all nucleotide re...
Nilanjan Saha, Layne T. Watson, Karen Kafadar, Ale...
CRYPTO
2004
Springer
108views Cryptology» more  CRYPTO 2004»
14 years 1 months ago
Finding Collisions on a Public Road, or Do Secure Hash Functions Need Secret Coins?
Many cryptographic primitives begin with parameter generation, which picks a primitive from a family. Such generation can use public coins (e.g., in the discrete-logarithm-based c...
Chun-Yuan Hsiao, Leonid Reyzin
ICML
2010
IEEE
13 years 9 months ago
Toward Off-Policy Learning Control with Function Approximation
We present the first temporal-difference learning algorithm for off-policy control with unrestricted linear function approximation whose per-time-step complexity is linear in the ...
Hamid Reza Maei, Csaba Szepesvári, Shalabh ...