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ITS
2010
Springer
157views Multimedia» more  ITS 2010»
15 years 4 months ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger
MMAS
2011
Springer
14 years 6 months ago
Scalable Bayesian Reduced-Order Models for Simulating High-Dimensional Multiscale Dynamical Systems
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
Phaedon-Stelios Koutsourelakis, Elias Bilionis
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
15 years 11 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
WSC
2000
15 years 21 days ago
Use of discrete event simulation to validate an agent based scheduling engine
This paper discusses the use of simulation in a new context. Most often QUEST is viewed as a stand-alone simulation tool to analyze and understand shop floor behavior. It has rare...
Shubhabrata Biswas, Sara Merchawi
GECCO
2004
Springer
164views Optimization» more  GECCO 2004»
15 years 4 months ago
Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a s...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...