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ALT
1998
Springer
15 years 6 months ago
Predictive Learning Models for Concept Drift
Concept drift means that the concept about which data is obtained may shift from time to time, each time after some minimum permanence. Except for this minimum permanence, the con...
John Case, Sanjay Jain, Susanne Kaufmann, Arun Sha...
128
Voted
CDC
2010
IEEE
141views Control Systems» more  CDC 2010»
14 years 9 months ago
Achieving higher frequencies in large-scale nonlinear model predictive control
We present new insights into how to achieve higher frequencies in large-scale nonlinear predictive control using truncated-like schemes. The basic idea is that, instead of solving ...
Victor M. Zavala, Mihai Anitescu
132
Voted
ICCV
1998
IEEE
16 years 4 months ago
Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence
We develop a theory for the temporal integration of visual motion motivated by psychophysical experiments. The theory proposes that input data are temporally grouped and used to p...
Alan L. Yuille, Pierre-Yves Burgi, Norberto M. Grz...
ISVC
2007
Springer
15 years 8 months ago
Integrative Geometric-Hashing Approaches to Binding Site Modeling and Ligand-Protein Interaction Prediction
Abstract. The function of a protein is dependent on whether and how it can interact with various ligands. Therefore, an accurate prediction of protein-ligand interactions is paramo...
Joanna Lipinski-Kruszka, Rahul Singh
130
Voted
TELETRAFFIC
2007
Springer
15 years 8 months ago
Modeling and Predicting End-to-End Response Times in Multi-tier Internet Applications
Many Internet applications employ multi-tier software architectures. The performance of such multi-tier Internet applications is typically measured by the end-toend response times...
Sandjai Bhulai, Swaminathan Sivasubramanian, Rober...