Intersection and signed-intersection kernels for intervals:

N. Agell; Cecilio Angulo Bahón; Francisco Javier Ruiz Vegas

Intersection and signed-intersection kernels for intervals

N. Agell, Cecilio Angulo Bahón, Francisco Javier Ruiz Vegas

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Producció científica: Capítol de llibre › Capítol

Resum

In this paper two kernels for interval data based on the intersection operation are introduced. Fist, it is demonstrated that the intersection length of two intervals and a signed variant of the intersection are positive definite (PD) and conditionally positive definite (CPD) kernels respectively. The performance of these kernels is evaluated by using one and two-dimensional examples.

Idioma original	Anglès
Títol de la publicació	Artificial intelligence research and development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
Pàgines	262-270
Estat de la publicació	Publicada - 1 d’oct. 2008

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title = "Intersection and signed-intersection kernels for intervals",

abstract = "In this paper two kernels for interval data based on the intersection operation are introduced. Fist, it is demonstrated that the intersection length of two intervals and a signed variant of the intersection are positive definite (PD) and conditionally positive definite (CPD) kernels respectively. The performance of these kernels is evaluated by using one and two-dimensional examples.",

author = "N. Agell and {Angulo Bah{\'o}n}, Cecilio and {Ruiz Vegas}, {Francisco Javier}",

year = "2008",

month = oct,

day = "1",

language = "English",

isbn = "978-1-58603-925-7",

pages = "262--270",

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T1 - Intersection and signed-intersection kernels for intervals

AU - Agell, N.

AU - Angulo Bahón, Cecilio

AU - Ruiz Vegas, Francisco Javier

PY - 2008/10/1

Y1 - 2008/10/1

N2 - In this paper two kernels for interval data based on the intersection operation are introduced. Fist, it is demonstrated that the intersection length of two intervals and a signed variant of the intersection are positive definite (PD) and conditionally positive definite (CPD) kernels respectively. The performance of these kernels is evaluated by using one and two-dimensional examples.

AB - In this paper two kernels for interval data based on the intersection operation are introduced. Fist, it is demonstrated that the intersection length of two intervals and a signed variant of the intersection are positive definite (PD) and conditionally positive definite (CPD) kernels respectively. The performance of these kernels is evaluated by using one and two-dimensional examples.

M3 - Chapter

SN - 978-1-58603-925-7

SP - 262

EP - 270

BT - Artificial intelligence research and development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence

ER -

Intersection and signed-intersection kernels for intervals

Resum

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