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*Learning data discretization via convex programming

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00240177" target="_blank" >RIV/68407700:21230/15:00240177 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    *Learning data discretization via convex programming

  • Original language description

    *We propose a generic framework that allows to adapt a convex learning algorithm for learning piece-wise constant and piece-wise linear decision functions. The algorithm adapted by our framework learns the discretization of input variables along with theparameters of the decision function by optimizing a single clearly interpretable objective function. The complexity of the discretization is controlled by an user-defined parameter proportional to the number of bins. The learning problem is transformedinto a convex program which can be solved efficiently by existing solvers.

  • Czech name

  • Czech description

Classification

  • Type

    V<sub>souhrn</sub> - Summary research report

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2015

  • Confidentiality

    C - Předmět řešení projektu podléhá obchodnímu tajemství (§ 504 Občanského zákoníku), ale název projektu, cíle projektu a u ukončeného nebo zastaveného projektu zhodnocení výsledku řešení projektu (údaje P03, P04, P15, P19, P29, PN8) dodané do CEP, jsou upraveny tak, aby byly zveřejnitelné.

Data specific for result type

  • Number of pages

    10

  • Place of publication

    Praha

  • Publisher/client name

    CISCO SYSTEMS (Czech Republic) s.r.o.

  • Version