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CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
15 years 7 months ago
Blocking parameterizations for improving the computational tractability of affine disturbance feedback MPC problems
Many model predictive control (MPC) schemes suffer from high computational complexity. Especially robust MPC schemes, which explicitly account for the effects of disturbances, can ...
Frauke Oldewurtel, Ravi Gondhalekar, Colin Neil Jo...
ML
2006
ACM
15 years 6 months ago
Gleaner: Creating ensembles of first-order clauses to improve recall-precision curves
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. A common way to measure performance in these domains is to use precision and recall i...
Mark Goadrich, Louis Oliphant, Jude W. Shavlik
CSDA
2011
15 years 1 months ago
Improved interval estimation of long run response from a dynamic linear model: A highest density region approach
This paper proposes a new method of interval estimation for the long run response (or elasticity) parameter from a general linear dynamic model. We employ the biascorrected bootst...
Jae H. Kim, Iain Fraser, Rob J. Hyndman
ICMCS
2007
IEEE
154views Multimedia» more  ICMCS 2007»
16 years 16 days ago
Improving Semantic Concept Detection and Retrieval using Contextual Estimates
In this paper we introduce a novel contextual fusion method to improve the detection scores of semantic concepts in images and videos. Our method consists of three phases. For eac...
Yusuf Aytar, Omer Bilal Orhan, Mubarak Shah
IJCNN
2006
IEEE
16 years 7 days ago
Generalization Improvement in Multi-Objective Learning
— Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
Lars Gräning, Yaochu Jin, Bernhard Sendhoff