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» Approximate algorithms for neural-Bayesian approaches
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FOCS
1995
IEEE
15 years 1 months ago
Free Bits, PCPs and Non-Approximability - Towards Tight Results
This paper continues the investigation of the connection between probabilistically checkable proofs PCPs the approximability of NP-optimization problems. The emphasis is on prov...
Mihir Bellare, Oded Goldreich, Madhu Sudan
ATAL
2005
Springer
15 years 3 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
SIGCOMM
2010
ACM
14 years 10 months ago
Design and implementation of an "approximate" communication system for wireless media applications
All practical wireless communication systems are prone to errors. At the symbol level such wireless errors have a well-defined structure: when a receiver decodes a symbol erroneou...
Sayandeep Sen, Syed Gilani, Shreesha Srinath, Step...
ICDE
2004
IEEE
121views Database» more  ICDE 2004»
15 years 11 months ago
Online Amnesic Approximation of Streaming Time Series
The past decade has seen a wealth of research on time series representations, because the manipulation, storage, and indexing of large volumes of raw time series data is impractic...
Themistoklis Palpanas, Michail Vlachos, Eamonn J. ...
ICDE
1998
IEEE
108views Database» more  ICDE 1998»
15 years 11 months ago
Efficient Discovery of Functional and Approximate Dependencies Using Partitions
Discovery of functionaldependencies from relations has been identified as an important database analysis technique. In this paper, we present a new approach for finding functional...
Ykä Huhtala, Juha Kärkkäinen, Pasi ...