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121views more  TCSV 2002»
10 years 11 months ago
Rate-constrained multihypothesis prediction for motion-compensated video compression
Abstract-- This article investigates linearly combined motion-compensated signals for video compression. In particular, we discuss multiple motion-compensated signals that are join...
Markus Flierl, Thomas Wiegand, Bernd Girod
128views more  UMUAI 1998»
10 years 11 months ago
Using Decision Trees for Agent Modeling: Improving Prediction Performance
A modeling system may be required to predict an agent’s future actions under constraints of inadequate or contradictory relevant historical evidence. This can result in low predi...
Bark Cheung Chiu, Geoffrey I. Webb
121views more  NECO 1998»
10 years 11 months ago
Nonlinear Time-Series Prediction with Missing and Noisy Data
We derive solutions for the problem of missing and noisy data in nonlinear timeseries prediction from a probabilistic point of view. We discuss different approximations to the so...
Volker Tresp, Reimar Hofmann
141views more  NAR 2002»
10 years 11 months ago
Co-expression pattern from DNA microarray experiments as a tool for operon prediction
The prediction of operons, the smallest unit of transcription in prokaryotes, is the first step towards reconstruction of a regulatory network at the whole genome level. Sequence ...
Chiara Sabatti, Lars Rohlin, Min-Kyu Oh, James C. ...
71views Education» more  CORR 1999»
10 years 11 months ago
New Error Bounds for Solomonoff Prediction
Solomonoff sequence prediction is a scheme to predict digits of binary strings without knowing the underlying probability distribution. We call a prediction scheme informed when i...
Marcus Hutter
10 years 11 months ago
An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms
Collaborative filtering systems predict a user's interest in new items based on the recommendations of other people with similar interests. Instead of performing content index...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
103views more  ALGORITHMICA 1998»
10 years 11 months ago
On Bayes Methods for On-Line Boolean Prediction
We examine a general Bayesian framework for constructing on-line prediction algorithms in the experts setting. These algorithms predict the bits of an unknown Boolean sequence usin...
Nicolò Cesa-Bianchi, David P. Helmbold, San...
72views more  IEE 2002»
10 years 11 months ago
Making inferences with small numbers of training sets
This paper discusses a potential methodological problem with empirical studies assessing project effort prediction systems. Frequently a hold-out strategy is deployed so that the ...
Colin Kirsopp, Martin J. Shepperd
119views more  CJ 2004»
10 years 11 months ago
Building Footprint Simplification Techniques and Their Effects on Radio Propagation Predictions
Building footprint simplification is of critical importance to radio propagation predictions in wireless communication systems as the prediction time is closely related to the num...
Zhongqiang Chen, Alex Delis, Henry L. Bertoni
104views more  CAS 2004»
10 years 11 months ago
Why Model?
This lecture treats some enduring misconceptions about modeling. One of these is that the goal is always prediction. The lecture distinguishes between explanation and prediction a...
S. E. van der Leeuw