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NN
1998
Springer
108views Neural Networks» more  NN 1998»
15 years 7 months ago
How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
Tsungnan Lin, Bill G. Horne, C. Lee Giles
ASIACRYPT
2007
Springer
16 years 1 months ago
Black-Box Extension Fields and the Inexistence of Field-Homomorphic One-Way Permutations
The black-box field (BBF) extraction problem is, for a given field F, to determine a secret field element hidden in a black-box which allows to add and multiply values in F in ...
Ueli M. Maurer, Dominik Raub
STOC
2009
ACM
102views Algorithms» more  STOC 2009»
16 years 8 months ago
Multiple intents re-ranking
One of the most fundamental problems in web search is how to re-rank result web pages based on user logs. Most traditional models for re-ranking assume each query has a single int...
Yossi Azar, Iftah Gamzu, Xiaoxin Yin
ICDM
2007
IEEE
121views Data Mining» more  ICDM 2007»
16 years 1 months ago
Finding Predictive Runs with LAPS
We present an extension to the Lasso [9] for binary classification problems with ordered attributes. Inspired by the Fused Lasso [8] and the Group Lasso [10, 4] models, we aim to...
Suhrid Balakrishnan, David Madigan
ECP
1997
Springer
128views Robotics» more  ECP 1997»
15 years 11 months ago
SINERGY: A Linear Planner Based on Genetic Programming
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
Ion Muslea