1387 search results - page 249 / 278 » Convexity in Discrete Space |
DAC
1997
ACM
13 years 11 months ago
1997
ACM
We describe an architectural design space exploration methodology that minimizes the energy dissipation of digital circuits. The centerpiece of our methodology is a Verilog-based ...
ICML
1996
IEEE
13 years 11 months ago
1996
IEEE
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
EURASIP
1990
13 years 11 months ago
1990
Inversionof multilayersynchronous networks is a method which tries to answer questions like What kind of input will give a desired output?" or Is it possible to get a desired...
ICCS
2007
Springer
13 years 11 months ago
2007
Springer
Common techniques tackling the task of classification in data mining employ ansatz functions associated to training data points to fit the data as well as possible. Instead, the fe...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...