6506 search results - page 1201 / 1302 » Algorithmic models for sensor networks |
BMCBI
2008
14 years 10 months ago
2008
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
NECO
2010
14 years 8 months ago
2010
Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...
GECCO
2007
Springer
15 years 4 months ago
2007
Springer
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
DAC
2006
ACM
15 years 11 months ago
2006
ACM
Packet editing is a fundamental building block of data communication systems such as switches and routers. Circuits that implement this function are critical and define the featur...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
We show how the regularizer of Transductive Support Vector Machines (TSVM) can be trained by stochastic gradient descent for linear models and multi-layer architectures. The resul...