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AIPS
2009
15 years 7 months ago
Exploiting N-Gram Analysis to Predict Operator Sequences
N-gram analysis provides a means of probabilistically predicting the next item in a sequence. Due originally to Shannon, it has proven an effective technique for word prediction i...
Christian J. Muise, Sheila A. McIlraith, Jorge A. ...
AUTOMATICA
2007
80views more  AUTOMATICA 2007»
15 years 6 months ago
Fast, large-scale model predictive control by partial enumeration
Partial enumeration (PE) is presented as a method for treating large, linear model predictive control applications that are out of reach with available MPC methods. PE uses both a...
Gabriele Pannocchia, James B. Rawlings, Stephen J....
NPL
1998
175views more  NPL 1998»
15 years 6 months ago
Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
Roman Rosipal, Milos Koska, Igor Farkas
AIED
2011
Springer
14 years 10 months ago
Towards Predicting Future Transfer of Learning
: We present an automated detector that can predict a student’s future performance on a transfer post-test, a post-test involving related but different skills than the skills stu...
Ryan Shaun Joazeiro de Baker, Sujith M. Gowda, Alb...
CIDR
2011
249views Algorithms» more  CIDR 2011»
14 years 10 months ago
The Case for Predictive Database Systems: Opportunities and Challenges
This paper argues that next generation database management systems should incorporate a predictive model management component to effectively support both inward-facing application...
Mert Akdere, Ugur Çetintemel, Matteo Rionda...