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» On Universal Transfer Learning
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ATAL
2007
Springer
14 years 14 days ago
Towards reinforcement learning representation transfer
Transfer learning problems are typically framed as leveraging knowledge learned on a source task to improve learning on a related, but different, target task. Current transfer met...
Matthew E. Taylor, Peter Stone
JUCS
2008
156views more  JUCS 2008»
13 years 6 months ago
Efficient k-out-of-n Oblivious Transfer Schemes
Abstract: Oblivious transfer is an important cryptographic protocol in various security applications. For example, in on-line transactions, a k-out-of-n oblivious transfer scheme a...
Cheng-Kang Chu, Wen-Guey Tzeng
MOBISYS
2007
ACM
14 years 5 months ago
Context-for-wireless: context-sensitive energy-efficient wireless data transfer
Ubiquitous connectivity on mobile devices will enable numerous new applications in healthcare and multimedia. We set out to check how close we are towards ubiquitous connectivity ...
Ahmad Rahmati, Lin Zhong
CSEE
2000
Springer
13 years 10 months ago
Technology Transfer Issues for Formal Methods of Software Specification
Accurate and complete requirements specifications are crucial for the design and implementation of high-quality software. Unfortunately, the articulation and verification of softw...
Ken Abernethy, John C. Kelly, Ann E. Kelley Sobel,...
ICML
2007
IEEE
14 years 7 months ago
Cross-domain transfer for reinforcement learning
A typical goal for transfer learning algorithms is to utilize knowledge gained in a source task to learn a target task faster. Recently introduced transfer methods in reinforcemen...
Matthew E. Taylor, Peter Stone