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NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 6 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
NN
2002
Springer
108views Neural Networks» more  NN 2002»
15 years 6 months ago
Dopamine: generalization and bonuses
In the temporal difference model of primate dopamine neurons, their phasic activity reports a prediction error for future reward. This model is supported by a wealth of experiment...
Sham Kakade, Peter Dayan
SIGMOD
2008
ACM
190views Database» more  SIGMOD 2008»
16 years 6 months ago
OLTP through the looking glass, and what we found there
Online Transaction Processing (OLTP) databases include a suite of features -- disk-resident B-trees and heap files, locking-based concurrency control, support for multi-threading ...
Stavros Harizopoulos, Daniel J. Abadi, Samuel Madd...
CHI
2009
ACM
15 years 11 months ago
Facilitating benign deceit in mediated communication
This research explores how to communicate an individuals’ self-reported emotional state to members of their personal social network, through automatic, computer-generated, perso...
Wendy Moncur, Judith Masthoff, Ehud Reiter
NETWORKING
2004
15 years 7 months ago
Stabilized Edge-to-Edge Aggregate Flow Control
In this paper, we present a distributed flow control scheme which achieves weighted max-min fair bandwidth allocation among all source-destination pairs on a per-aggregate basis wi...
Hyung-Keun Ryu, Jeong-woo Cho, Song Chong