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TIT
2008
102views more  TIT 2008»
15 years 20 days ago
On Low-Complexity Maximum-Likelihood Decoding of Convolutional Codes
Abstract--This letter considers the average complexity of maximum-likelihood (ML) decoding of convolutional codes. ML decoding can be modeled as finding the most probable path take...
Jie Luo
JAISE
2010
141views Algorithms» more  JAISE 2010»
14 years 7 months ago
Emulation framework for the design and development of active RFID tag systems
The design and development of active RFID tag systems requires several iterations, and thorough testing in order to ensure that the prototype systems behave as intended. Facilitati...
Razvan Beuran, Junya Nakata, Tetsuya Kawakami, Tak...
85
Voted
JMLR
2010
101views more  JMLR 2010»
14 years 7 months ago
Efficient Reductions for Imitation Learning
Imitation Learning, while applied successfully on many large real-world problems, is typically addressed as a standard supervised learning problem, where it is assumed the trainin...
Stéphane Ross, Drew Bagnell
109
Voted
JORS
2010
134views more  JORS 2010»
14 years 7 months ago
An overview and framework for PD backtesting and benchmarking
In order to manage model risk, financial institutions need to set up validation processes so as to monitor the quality of the models on an ongoing basis. Validation can be conside...
G. Castermans, David Martens, Tony Van Gestel, B. ...
132
Voted
CCGRID
2010
IEEE
14 years 4 months ago
WORKEM: Representing and Emulating Distributed Scientific Workflow Execution State
- Scientific workflows have become an integral part of cyberinfrastructure as their computational complexity and data sizes have grown. However, the complexity of the distributed i...
Lavanya Ramakrishnan, Dennis Gannon, Beth Plale