219 search results - page 14 / 44 » Solving Semi-infinite Linear Programs Using Boosting-Like Me... |
NECO
2007
13 years 7 months ago
2007
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
AAAI
2006
13 years 9 months ago
2006
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
Finding the largest consensus set is one of the key ideas used by the original RANSAC for removing outliers in robust-estimation. However, because of its random and non-determinis...
ML
2002
ACM
13 years 7 months ago
2002
ACM
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
TCAD
1998
13 years 7 months ago
1998
— Conventional methods for optimal sizing of wires and transistors use linear resistor-capacitor (RC) circuit models and the Elmore delay as a measure of signal delay. If the RC ...