Results 101 to 110 of about 937,595 (329)
On robustness properties of convex risk minimization methods for pattern recognition [PDF]
The paper brings together methods from two disciplines: machine learning theory and robust statistics. Robustness properties of machine learning methods based on convex risk minimization are investigated for the problem of pattern recognition ...
Christmann, Andreas, Steinwart, Ingo
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Advanced Engineering Materials, EarlyView.This study explores aerosol jet‐printed (AJP) surface roughness, its effects on the performance of microwave electronics, and its process contributors. First, an electromagnetic model is vetted for AJP's unique roughness signature. Simulations are built which show process‐induced roughness is as significant as conductor resistivity in driving microwave
Christopher Areias, Alkim Akyurtlu
wiley +1 more source
Data selection for support vector machine classifiers [PDF]
, 2000 Glenn Fung, O. L. Mangasarian
openalex +1 more source
Benchmarking least squares support vector machine classifiers. [PDF]
In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a ( convex) quadratic programming (QP) problem. In a modified version of SVMs, called Least Squares SVM classifiers (LS-SVMs), a least squares cost function
Baesens, Bart +7 more
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Identifying ILI Cases from Chief Complaints: Comparing the Accuracy of Keyword and Support Vector Machine Methods [PDF]
, 2009 We compared the accuracy of two methods of identifying ILI cases from chief complaints.
Davies, Richard +5 more
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Advanced Engineering Materials, EarlyView.This study presents rapid evaluation methods for scan strategies in powder bed fusion (PBF) of polymers with a NIR laser as an example for its application. It uses line buffer‐based calculations and point density fields to predict the performance of four different scan strategies. The methods show promising results in laser‐based PBF of polymer samples,
Simon Leupold +9 more
wiley +1 more source
Japanese dependency structure analysis based on support vector machines [PDF]
, 2000 Taku Kudo, Yūji Matsumoto
openalex +1 more source
Advanced Engineering Materials, EarlyView.What happens when 32 labs join forces to study nanoparticle‐modified powders? A data‐driven journey through laser powder bed fusion—now openly accessible for the entire additive manufacturing community—is studied. Laser powder bed fusion is a cornerstone technology for additive manufacturing (AM) of metals and polymers, yet challenges in achieving ...
Ihsan Murat Kuşoğlu +73 more
wiley +1 more source
On a strategy to develop robust and simple tariffs from motor vehicle insurance data [PDF]
The goals of this paper are twofold: we describe common features in data sets from motor vehicle insurance companies and we investigate a general strategy which exploits the knowledge of such features.
Christmann, Andreas
core
Penerapan Metode Support Vector Machine Berbasis Particle Swarm Optimization Untuk Prediksi Penyakit Jantung [PDF]
, 2013 Heart disease is one of the world's deadliest diseases. Heart disease occurs due to narrowing or blockage of the coronary arteries caused by the buildup of fatty substances (cholestero, triglycerides), more and more and accumulate beneath the inner ...
Nurajizah, S. (Siti)
core +1 more source