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AAAI
2008
15 years 9 days ago
Text Categorization with Knowledge Transfer from Heterogeneous Data Sources
Multi-category classification of short dialogues is a common task performed by humans. When assigning a question to an expert, a customer service operator tries to classify the cu...
Rakesh Gupta, Lev-Arie Ratinov
FLAIRS
2007
15 years 9 days 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
HICSS
2002
IEEE
109views Biometrics» more  HICSS 2002»
15 years 2 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
FCS
2006
14 years 11 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...
IJCNN
2006
IEEE
15 years 4 months ago
Language Acquisition and Symbol Grounding Transfer with Neural Networks and Cognitive Robots
— Neural networks have been proposed as an ideal cognitive modeling methodology to deal with the symbol grounding problem. More recently, such neural network approaches have been...
Angelo Cangelosi, Emmanouil Hourdakis, Vadim Tikha...