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Devroye, Luc; Gyorfi, Laszlo; Lugosi, Gabor (18 results)
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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Seller rating 4 out of 5 stars
Condition: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
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Condition: New.
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Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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US$ 106.84
Convert currencyUS$ 3.99 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Condition: New. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.
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Condition: As New. Unread book in perfect condition.
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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 119.81
Convert currencyUS$ 15.98 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In English.
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US$ 149.79
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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US$ 148.45
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Add to basketCondition: New.
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Probabilistic Theory of Pattern Recognition
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 147.08
Convert currencyUS$ 20.00 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketCondition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Probabilistic Theory of Pattern Recognition
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 149.00
Convert currencyUS$ 20.00 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Condition: New.
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US$ 170.69
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 162.66
Convert currencyUS$ 15.98 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In English.
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Probabilistic Theory of Pattern Recognition
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 186.80
Convert currencyUS$ 20.00 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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US$ 97.32
Convert currencyUS$ 56.84 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and ex.
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US$ 138.20
Convert currencyUS$ 56.84 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and ex.
