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NN
1998
Springer
108views Neural Networks» more  NN 1998»
15 years 6 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 24 days 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 7 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 28 days 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 10 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