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» A Simple Abstraction for Data Modeling
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IM
2003
15 years 8 months ago
Probabilistic Event-driven Fault Diagnosis Through Incremental Hypothesis Updating
Abstract: A probabilistic event-driven fault localization technique is presented, which uses a symptom-fault map as a fault propagation model. The technique isolates the most proba...
Malgorzata Steinder, Adarshpal S. Sethi
CORR
2006
Springer
99views Education» more  CORR 2006»
15 years 6 months ago
PAC Learning Mixtures of Axis-Aligned Gaussians with No Separation Assumption
Abstract. We propose and analyze a new vantage point for the learning of mixtures of Gaussians: namely, the PAC-style model of learning probability distributions introduced by Kear...
Jon Feldman, Ryan O'Donnell, Rocco A. Servedio
TNN
2010
173views Management» more  TNN 2010»
15 years 1 months ago
Multiclass relevance vector machines: sparsity and accuracy
Abstract--In this paper we investigate the sparsity and recognition capabilities of two approximate Bayesian classification algorithms, the multi-class multi-kernel Relevance Vecto...
Ioannis Psorakis, Theodoros Damoulas, Mark A. Giro...
EMMCVPR
2011
Springer
14 years 6 months ago
Curvature Regularity for Multi-label Problems - Standard and Customized Linear Programming
Abstract. We follow recent work by Schoenemann et al. [25] for expressing curvature regularity as a linear program. While the original formulation focused on binary segmentation, w...
Thomas Schoenemann, Yubin Kuang, Fredrik Kahl
IROS
2009
IEEE
150views Robotics» more  IROS 2009»
16 years 1 months ago
Biorobotic fins for investigations of fish locomotion
Abstract—Experimental analyses of propulsion in freelyswimming fishes have led to the development of self-propelling pectoral and caudal fin robotic devices. These biorobotic mod...
James L. Tangorra, Christopher J. Esposito, George...