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IJCAI
2007
15 years 17 days ago
Towards Reasoning about the Past in Neural-symbolic Systems
Reasoning about the past is of fundamental importance in several applications in computer science and artificial intelligence, including reactive systems and planning. In this pa...
Rafael V. Borges, Luís C. Lamb, Artur S. d'...
96
Voted
DATE
2003
IEEE
123views Hardware» more  DATE 2003»
15 years 4 months ago
Parallel Processing Architectures for Reconfigurable Systems
Novel reconfigurable computing architectures exploit the inherent parallelism available in many signalprocessing problems. These architectures often consist of networks of compute...
Kees A. Vissers
ATAL
2005
Springer
15 years 4 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
IUI
2012
ACM
13 years 6 months ago
Towards automatic functional test execution
As applications are developed, functional tests ensure they continue to function as expected. Nowadays, functional testing is mostly done manually, with human testers verifying a ...
Pablo Pedemonte, Jalal Mahmud, Tessa Lau
99
Voted
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 1 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye