FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3201839482> ?p ?o ?g. }

• W3201839482 abstract "We study the classification problem for high-dimensional data with $n$ observations on $p$ features where the $p times p$ covariance matrix $Sigma$ exhibits a spiked eigenvalues structure and the vector $zeta$, given by the difference between the whitened mean vectors, is sparse with sparsity at most $s$. We propose an adaptive classifier (adaptive with respect to the sparsity $s$) that first performs dimension reduction on the feature vectors prior to classification in the dimensionally reduced space, i.e., the classifier whitened the data, then screen the features by keeping only those corresponding to the $s$ largest coordinates of $zeta$ and finally apply Fisher linear discriminant on the selected features. Leveraging recent results on entrywise matrix perturbation bounds for covariance matrices, we show that the resulting classifier is Bayes optimal whenever $n rightarrow infty$ and $s sqrt{n^{-1} ln p} rightarrow 0$. Experimental results on real and synthetic data sets indicate that the proposed classifier is competitive with existing state-of-the-art methods while also selecting a smaller number of features." @default.
• W3201839482 created "2021-10-11" @default.
• W3201839482 creator A5056784746 @default.
• W3201839482 creator A5085147413 @default.
• W3201839482 date "2021-10-05" @default.
• W3201839482 modified "2023-09-27" @default.
• W3201839482 title "Classification of high-dimensional data with spiked covariance matrix structure." @default.
• W3201839482 cites W1480650841 @default.
• W3201839482 cites W1488435683 @default.
• W3201839482 cites W1520752838 @default.
• W3201839482 cites W1768730780 @default.
• W3201839482 cites W1915008591 @default.
• W3201839482 cites W1971168247 @default.
• W3201839482 cites W1978251628 @default.
• W3201839482 cites W1994938797 @default.
• W3201839482 cites W1995241424 @default.
• W3201839482 cites W2012029996 @default.
• W3201839482 cites W2040373108 @default.
• W3201839482 cites W2049701820 @default.
• W3201839482 cites W2051605894 @default.
• W3201839482 cites W2051623559 @default.
• W3201839482 cites W2097308346 @default.
• W3201839482 cites W2109363337 @default.
• W3201839482 cites W2117533604 @default.
• W3201839482 cites W2117812871 @default.
• W3201839482 cites W2118250684 @default.
• W3201839482 cites W2121647436 @default.
• W3201839482 cites W2124608575 @default.
• W3201839482 cites W2124925761 @default.
• W3201839482 cites W2125694880 @default.
• W3201839482 cites W2135046866 @default.
• W3201839482 cites W2138550913 @default.
• W3201839482 cites W2150940164 @default.
• W3201839482 cites W2167689714 @default.
• W3201839482 cites W2626872000 @default.
• W3201839482 cites W2962736733 @default.
• W3201839482 cites W2964063947 @default.
• W3201839482 cites W2964066048 @default.
• W3201839482 cites W2964069910 @default.
• W3201839482 cites W2964342269 @default.
• W3201839482 cites W2965497096 @default.
• W3201839482 cites W2966291568 @default.
• W3201839482 cites W2972219024 @default.
• W3201839482 cites W3099514962 @default.
• W3201839482 cites W3106324661 @default.
• W3201839482 hasPublicationYear "2021" @default.
• W3201839482 type Work @default.
• W3201839482 sameAs 3201839482 @default.
• W3201839482 citedByCount "0" @default.
• W3201839482 crossrefType "posted-content" @default.
• W3201839482 hasAuthorship W3201839482A5056784746 @default.
• W3201839482 hasAuthorship W3201839482A5085147413 @default.
• W3201839482 hasConcept C105795698 @default.
• W3201839482 hasConcept C107673813 @default.
• W3201839482 hasConcept C11413529 @default.
• W3201839482 hasConcept C114614502 @default.
• W3201839482 hasConcept C121332964 @default.
• W3201839482 hasConcept C12267149 @default.
• W3201839482 hasConcept C143809311 @default.
• W3201839482 hasConcept C153180895 @default.
• W3201839482 hasConcept C154945302 @default.
• W3201839482 hasConcept C158693339 @default.
• W3201839482 hasConcept C178650346 @default.
• W3201839482 hasConcept C180877172 @default.
• W3201839482 hasConcept C184509293 @default.
• W3201839482 hasConcept C185142706 @default.
• W3201839482 hasConcept C185207860 @default.
• W3201839482 hasConcept C207201462 @default.
• W3201839482 hasConcept C33923547 @default.
• W3201839482 hasConcept C41008148 @default.
• W3201839482 hasConcept C52001869 @default.
• W3201839482 hasConcept C52620605 @default.
• W3201839482 hasConcept C62520636 @default.
• W3201839482 hasConcept C69738355 @default.
• W3201839482 hasConcept C70518039 @default.
• W3201839482 hasConcept C73555534 @default.
• W3201839482 hasConcept C83665646 @default.
• W3201839482 hasConcept C95623464 @default.
• W3201839482 hasConceptScore W3201839482C105795698 @default.
• W3201839482 hasConceptScore W3201839482C107673813 @default.
• W3201839482 hasConceptScore W3201839482C11413529 @default.
• W3201839482 hasConceptScore W3201839482C114614502 @default.
• W3201839482 hasConceptScore W3201839482C121332964 @default.
• W3201839482 hasConceptScore W3201839482C12267149 @default.
• W3201839482 hasConceptScore W3201839482C143809311 @default.
• W3201839482 hasConceptScore W3201839482C153180895 @default.
• W3201839482 hasConceptScore W3201839482C154945302 @default.
• W3201839482 hasConceptScore W3201839482C158693339 @default.
• W3201839482 hasConceptScore W3201839482C178650346 @default.
• W3201839482 hasConceptScore W3201839482C180877172 @default.
• W3201839482 hasConceptScore W3201839482C184509293 @default.
• W3201839482 hasConceptScore W3201839482C185142706 @default.
• W3201839482 hasConceptScore W3201839482C185207860 @default.
• W3201839482 hasConceptScore W3201839482C207201462 @default.
• W3201839482 hasConceptScore W3201839482C33923547 @default.
• W3201839482 hasConceptScore W3201839482C41008148 @default.
• W3201839482 hasConceptScore W3201839482C52001869 @default.
• W3201839482 hasConceptScore W3201839482C52620605 @default.
• W3201839482 hasConceptScore W3201839482C62520636 @default.
• W3201839482 hasConceptScore W3201839482C69738355 @default.

• next