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FLAIRS
2007
15 years 5 months ago
Context-Sensitive MTL Networks for Machine Lifelong Learning
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
Daniel L. Silver, Ryan Poirier
116
Voted
HICSS
2002
IEEE
109views Biometrics» more  HICSS 2002»
15 years 7 months ago
Embedding Self-Management and Generic Learning Support into Courseware Structures
Traditional Computer-Aided Teaching and Learning (CAT/CAL) environments in multimedia-based teleeducation do not empower knowledge consumers (trainees, students etc.) to practice ...
Andreas Auinger, Christian Stary
114
Voted
IPPS
2006
IEEE
15 years 8 months ago
RAPID: an end-system aware protocol for intelligent data transfer over lambda grids
Next-generation e-Science applications will require the ability to transfer information at high data rates between distributed computing centers and data repositories. To support ...
Amitabha Banerjee, Wu-chun Feng, Biswanath Mukherj...
168
Voted
RECOMB
2012
Springer
13 years 5 months ago
Recovering the Tree-Like Trend of Evolution Despite Extensive Lateral Genetic Transfer: A Probabilistic Analysis
Abstract. Lateral gene transfer (LGT) is a common mechanism of nonvertical evolution where genetic material is transferred between two more or less distantly related organisms. It ...
Sebastien Roch, Sagi Snir
118
Voted
FCS
2006
15 years 4 months ago
Quantum Oblivious Transfer Based on POVM Measurements
- Oblivious transfer OT is an important primitive in cryptography. In chosen one-out-of-two OT, Alice offers two bits, one of which Bob can choose to read, not learning any informa...
Wei Yang, Liusheng Huang, Yonglong Luo, Mingjun Xi...