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ICCS
2004
Springer
9 years 1 months ago
Predicting MPI Buffer Addresses
Communication latencies have been identified as one of the performance limiting factors of message passing applications in clusters of workstations/multiprocessors. On the receiver...
Felix Freitag, Montse Farreras, Toni Cortes, Jes&u...
AWIC
2004
Springer
9 years 1 months ago
Case-Based Reasoning as a Prediction Strategy for Hybrid Recommender Systems
Abstract. Hybrid recommender systems are capable of providing better recommendations than non-hybrid ones. Our approach to hybrid recommenders is the use of prediction strategies t...
Mark van Setten, Mettina Veenstra, Anton Nijholt, ...
SIGMETRICS
2004
ACM
9 years 1 months ago
Storage device performance prediction with CART models
d Abstract] Mengzhi Wang, Kinman Au, Anastassia Ailamaki, Anthony Brockwell, Christos Faloutsos, and Gregory R. Ganger Carnegie Mellon University This work explores the applicatio...
Mengzhi Wang, Kinman Au, Anastassia Ailamaki, Anth...
LOCA
2005
Springer
9 years 1 months ago
Prediction of Indoor Movements Using Bayesian Networks
Abstract. This paper investigates the efficiency of in-door next location prediction by comparing several prediction methods. The scenario concerns people in an office building vis...
Jan Petzold, Andreas Pietzowski, Faruk Bagci, Wolf...
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
9 years 1 months ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
IWANN
2005
Springer
9 years 1 months ago
Input Selection for Long-Term Prediction of Time Series
Prediction of time series is an important problem in many areas of science and engineering. Extending the horizon of predictions further to the future is the challenging and diffic...
Jarkko Tikka, Jaakko Hollmén, Amaury Lendas...
EURONGI
2005
Springer
9 years 2 months ago
An Afterstates Reinforcement Learning Approach to Optimize Admission Control in Mobile Cellular Networks
We deploy a novel Reinforcement Learning optimization technique based on afterstates learning to determine the gain that can be achieved by incorporating movement prediction inform...
José Manuel Giménez-Guzmán, J...
ECML
2005
Springer
9 years 2 months ago
Error-Sensitive Grading for Model Combination
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Surendra K. Singhi, Huan Liu
ICMCS
2005
IEEE
92views Multimedia» more  ICMCS 2005»
9 years 2 months ago
Personalized Prefetching for Manets
Mobile ad hoc networks (MANETs) are a very promising next generation networks. Prediction is an essential aspect in the deployment of MANETs. Current work mainly focuses on mobili...
S. H. Srinivasan
ICCV
2005
IEEE
9 years 2 months ago
Learning Models for Predicting Recognition Performance
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
Rong Wang, Bir Bhanu
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