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Journal of Vector Ecology, 2023
Members of the subfamily Triatominae (Hemiptera; Reduviidae) are vectors of American trypanosomiasis, also called Chagas disease. These insects feed on blood and are capable of transmitting protozoa belonging to the genus Trypanosoma (Kinetoplastea ...
F. Collantes +2 more
semanticscholar +1 more source
Members of the subfamily Triatominae (Hemiptera; Reduviidae) are vectors of American trypanosomiasis, also called Chagas disease. These insects feed on blood and are capable of transmitting protozoa belonging to the genus Trypanosoma (Kinetoplastea ...
F. Collantes +2 more
semanticscholar +1 more source
On the quasistability of trajectory problems of vector optimization
Mathematical Notes, 1996We consider quasistable multicriteria problems of discrete optimization on systems of subsets (trajectory problems). We single out the class of problems for which new Pareto optima can appear, while other optima for the problems do not disappear when the coefficients of the objective functions are slightly perturbed (in the Chebyshev metric).
Dmitry Podkopaev +2 more
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An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
The AI Magazine, 2001This book is an introduction to support vector machines and related kernel methods in supervised learning, whose task is to estimate an input-output functional relationship from a training set of examples.
Tong Zhang
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Trajectory classification in circular restricted three-body problem using support vector machine
Advances in Space Research, 2015Abstract In the circular restricted three-body problem (CR3BP), transit orbit is a class of orbit which can pass through the bottleneck region of the zero velocity curve and escapes from the vicinity of the primary or the secondary. This kind of orbit plays a very important role in the design of space exploration missions.
Weipeng Li, Fujun Peng, Hai Huang
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Advances in kernel methods: support vector learning
, 1999Introduction to support vector learning roadmap. Part 1 Theory: three remarks on the support vector method of function estimation, Vladimir Vapnik generalization performance of support vector machines and other pattern classifiers, Peter Bartlett and ...
B. Scholkopf, C. Burges, Alex Smola
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Optimization by Vector Space Methods
, 1968From the Publisher: Engineers must make decisions regarding the distribution of expensive resources in a manner that will be economically beneficial. This problem can be realistically formulated and logically analyzed with optimization theory. This book
D. Luenberger
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, 1998
My first exposure to Support Vector Machines came this spring when heard Sue Dumais present impressive results on text categorization using this analysis technique.
Marti A. Hearst
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My first exposure to Support Vector Machines came this spring when heard Sue Dumais present impressive results on text categorization using this analysis technique.
Marti A. Hearst
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Polar Factorization and Monotone Rearrangement of Vector-Valued Functions
, 1991Given a probability space (X, p) and a bounded domain R in Rd equipped with the Lebesgue measure 1 . I (normalized so that 10 I = I ), it is shown (under additional technical assumptions on X and Q) that for every vector-valued function u E Lp(X, p; Rd ...
Y. Brenier
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