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» Approximate predictive state representations
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CVPR
2008
IEEE
16 years 1 months ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell
FORTE
2009
14 years 9 months ago
Approximated Context-Sensitive Analysis for Parameterized Verification
Abstract. We propose a verification method for parameterized systems with global conditions. The method is based on context-sensitive constraints, a symbolic representation of infi...
Parosh Aziz Abdulla, Giorgio Delzanno, Ahmed Rezin...
MICAI
2004
Springer
15 years 5 months ago
Extracting Temporal Patterns from Time Series Data Bases for Prediction of Electrical Demand
In this paper we present a technique for prediction of electrical demand based on multiple models. The multiple models are composed by several local models, each one describing a r...
J. Jesus Rico Melgoza, Juan J. Flores, Constantino...
WABI
2007
Springer
15 years 5 months ago
Predicting Protein Folding Kinetics Via Temporal Logic Model Checking
Christopher James Langmead⋆ and Sumit Kumar Jha Department of Computer Science, Carnegie Mellon University We present a novel approach for predicting protein folding kinetics us...
Christopher James Langmead, Sumit Kumar Jha
CDC
2010
IEEE
130views Control Systems» more  CDC 2010»
14 years 6 months ago
A fast well-conditioned interior point method for predictive control
Interior point methods (IPMs) have proven to be an efficient way of solving quadratic programming problems in predictive control. A linear system of equations needs to be solved in...
Amir Shahzad, Eric C. Kerrigan, George A. Constant...