About: MALEF: Framework for distributed machine learning and data mining     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. In this paper we present a novel framework MultiAgent Learning Framework (MALEF) designed for both the agent-based distributed machine learning as well as data mining. Proposed framework is based on: the exchange of meta-level descriptions of individual learning process; online reasoning about learning success and learning progress. This paper illustrates how MALEF framework can be used in practical system in which different learners use different datasets, hypotheses and learning algorithms. We describe our experimental results obtained using this system and review related work on the subject.
  • Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. In this paper we present a novel framework MultiAgent Learning Framework (MALEF) designed for both the agent-based distributed machine learning as well as data mining. Proposed framework is based on: the exchange of meta-level descriptions of individual learning process; online reasoning about learning success and learning progress. This paper illustrates how MALEF framework can be used in practical system in which different learners use different datasets, hypotheses and learning algorithms. We describe our experimental results obtained using this system and review related work on the subject. (en)
  • Vzrůstající důležitost technik distribuovaného data-miningu přilákala pozornost mnoha multi-agentních výzkumníků. V tomto článku představujeme nový framework pro multi-agentní strojové učení (MALEF) navržený pro multi-agentní strojové učení a data-mining. Navržený framework je založen na: výměně meta-úrovňového popisu individuálního učícího procesu; online rozhodování o úspěchu učícího procesu a jeho kvalitě. Tento článek ukazuje jak může být MALEF použit v praktickém systému ve kterém různí učící se agenti používají různé datové soubory, hypotézy a učící algoritmy. Dále popisujeme experimentální výsledky získané z navrženého systému a přehled ostatních prací na toto téma. (cs)
Title
  • MALEF: Framework for distributed machine learning and data mining
  • MALEF: Framework for distributed machine learning and data mining (en)
  • MALEF: Framework pro distribuované strojové učení a data-mining (cs)
skos:prefLabel
  • MALEF: Framework for distributed machine learning and data mining
  • MALEF: Framework for distributed machine learning and data mining (en)
  • MALEF: Framework pro distribuované strojové učení a data-mining (cs)
skos:notation
  • RIV/68407700:21230/08:03144284!RIV09-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770038)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 377529
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/08:03144284
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • architectures; distributed machine learning; multiagent learning frameworks; unsupervised clustering (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CH - Švýcarská konfederace
http://linked.open...ontrolniKodProRIV
  • [1FD6C05ED86E]
http://linked.open...i/riv/nazevZdroje
  • International Journal of Intelligent Information and Database Systems
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2
http://linked.open...iv/tvurceVysledku
  • Pěchouček, Michal
  • Urban, Štěpán
  • Tožička, Jan
  • Rovatsos, M.
http://linked.open...n/vavai/riv/zamer
issn
  • 1751-5858
number of pages
http://localhost/t...ganizacniJednotka
  • 21230
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software