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136
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NECO
2007
150views more  NECO 2007»
15 years 3 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
141
Voted
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 4 months ago
Visually mining and monitoring massive time series
Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, allowing a launch in spi...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jef...
139
Voted
WADT
2001
Springer
15 years 8 months ago
Verifying a Simple Pipelined Microprocessor Using Maude
Abstract. We consider the verification of a simple pipelined microprocessor in Maude, by implementing an equational theoretical model of systems. Maude is an equationally-based la...
Neal A. Harman
ICCV
2003
IEEE
16 years 5 months ago
Adaptive Dynamic Range Imaging: Optical Control of Pixel Exposures Over Space and Time
This paper presents a new approach to imaging that significantly enhances the dynamic range of a camera. The key idea is to adapt the exposure of each pixel on the image detector,...
Shree K. Nayar, Vlad Branzoi
126
Voted
KDD
2003
ACM
118views Data Mining» more  KDD 2003»
16 years 4 months ago
Generating English summaries of time series data using the Gricean maxims
We are developing technology for generating English textual summaries of time-series data, in three domains: weather forecasts, gas-turbine sensor readings, and hospital intensive...
Somayajulu Sripada, Ehud Reiter, Jim Hunter, Jin Y...