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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F10%3A00342820%21RIV11-MSM-67985556
rdf:type
skos:Concept n18:Vysledek
dcterms:description
A broad class of decision-making problems can be solved by learning approach. This can be a feasible alternative when neither an analytical solution exists nor the mathematical model can be constructed. In these cases the required knowledge can be gained from the past data which form the so-called learning or training set. Then the formal apparatus of statistical pattern recognition can be used to learn the decision-making. The first and essential step of statistical pattern recognition is to solve the problem of feature selection (FS) or more generally dimensionality reduction (DR). The chapter summarizes the state of art in feature selection, addressing key topics including: FS categorization, FS criteria, FS search strategies, FS stability. A broad class of decision-making problems can be solved by learning approach. This can be a feasible alternative when neither an analytical solution exists nor the mathematical model can be constructed. In these cases the required knowledge can be gained from the past data which form the so-called learning or training set. Then the formal apparatus of statistical pattern recognition can be used to learn the decision-making. The first and essential step of statistical pattern recognition is to solve the problem of feature selection (FS) or more generally dimensionality reduction (DR). The chapter summarizes the state of art in feature selection, addressing key topics including: FS categorization, FS criteria, FS search strategies, FS stability.
dcterms:title
Efficient Feature Subset Selection and Subset Size Optimization Efficient Feature Subset Selection and Subset Size Optimization
skos:prefLabel
Efficient Feature Subset Selection and Subset Size Optimization Efficient Feature Subset Selection and Subset Size Optimization
skos:notation
RIV/67985556:_____/10:00342820!RIV11-MSM-67985556
n3:aktivita
n11:P n11:Z
n3:aktivity
P(1M0572), P(2C06019), P(GA102/07/1594), P(GA102/08/0593), Z(AV0Z10750506)
n3:dodaniDat
n12:2011
n3:domaciTvurceVysledku
n10:6956432 n10:4788575 n10:6617972
n3:druhVysledku
n20:C
n3:duvernostUdaju
n13:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
256395
n3:idVysledku
RIV/67985556:_____/10:00342820
n3:jazykVysledku
n4:eng
n3:klicovaSlova
dimensionality reduction; pattern recognition; machine learning; feature selection; optimization; subset search; classification
n3:klicoveSlovo
n8:dimensionality%20reduction n8:optimization n8:subset%20search n8:pattern%20recognition n8:feature%20selection n8:machine%20learning n8:classification
n3:kontrolniKodProRIV
[C1A142E5C3AF]
n3:mistoVydani
Vukovar, Croatia
n3:nazevZdroje
Pattern Recognition, Recent Advances
n3:obor
n19:BD
n3:pocetDomacichTvurcuVysledku
3
n3:pocetStranKnihy
524
n3:pocetTvurcuVysledku
3
n3:projekt
n6:GA102%2F07%2F1594 n6:GA102%2F08%2F0593 n6:2C06019 n6:1M0572
n3:rokUplatneniVysledku
n12:2010
n3:tvurceVysledku
Somol, Petr Novovičová, Jana Pudil, Pavel
n3:zamer
n17:AV0Z10750506
s:numberOfPages
23
n14:hasPublisher
In-Teh
n7:isbn
978-953-7619-90-9