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NN
1998
Springer
108views Neural Networks» more  NN 1998»
14 years 9 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
PAA
2010
14 years 8 months ago
Exploiting visual and text features for direct marketing learning in time and space constrained domains
Traditionally, direct marketing companies have relied on pre-testing to select the best offers to send to their audiences. Companies systematically dispatch the offers under consid...
Sebastiano Battiato, Giovanni Maria Farinella, Gio...
TCOM
2010
107views more  TCOM 2010»
14 years 8 months ago
A Simple Recruitment Scheme of Multiple Nodes for Cooperative MAC
—Physical (PHY) layer cooperation in a wireless network allows neighboring nodes to share their communication resources in order to create a virtual antenna array by means of dis...
Francesco Verde, Thanasis Korakis, Elza Erkip, Ann...
GLOBECOM
2010
IEEE
14 years 7 months ago
A Distributed Wake-Up Scheduling for Opportunistic Forwarding in Wireless Sensor Networks
In wireless sensor networks (WSNs), sensor nodes are typically subjected to energy constraints and often prone to topology changes. While duty cycling has been widely used for ener...
Chul-Ho Lee, Do Young Eun
EMNLP
2009
14 years 7 months ago
Parser Adaptation and Projection with Quasi-Synchronous Grammar Features
We connect two scenarios in structured learning: adapting a parser trained on one corpus to another annotation style, and projecting syntactic annotations from one language to ano...
David A. Smith, Jason Eisner