Predictive State Representations (PSRs) have shown a great deal of promise as an alternative to Markov models. However, learning a PSR from a single stream of data generated from ...
This paper presents an updated version of the adaptive learning particle swarm optimizer (ALPSO) [6], we call it ALPSO-II. In order to improve the performance of ALPSO on multi-mod...
This paper describes STAGE, a learning approach to automatically improving search performance on optimization problems.STAGElearns an evaluation function which predicts the outcom...
The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...
This paper argues that the existing approaches to modeling and characterization of IC malfunctions are inadequate for test and yield learning of Deep Sub-Micron (DSM) products. Tr...
Wojciech Maly, Anne E. Gattiker, Thomas Zanon, Tho...