乐胖代购免代理版

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This is acceptable for predictive purposes, but is not sufficient for knowledge discovery if multiple solutions exist. We propose a strategy to extend a class of greedy methods to efficiently identify multiple solutions, and show under which conditions it identifies all solutions. We also introduce a taxonomy of features that takes the existence of multiple solutions into account. Furthermore, we explore different definitions of statistical equivalence of solutions, as well as methods for testing equivalence. A novel algorithm for compactly representing and visualizing multiple solutions is also introduced. In experiments we show that (a) the proposed algorithm is significantly more computationally efficient than the TIE* algorithm, the only alternative approach with similar theoretical guarantees, while identifying similar solutions to it, and (b) that the identified solutions have similar predictive performance.<\/jats:p>","DOI":"10.1007\/s10618-020-00731-7","type":"journal-article","created":{"date-parts":[[2021,5,3]],"date-time":"2021-05-03T15:00:42Z","timestamp":1620054042000},"page":"1393-1434","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Extending greedy feature selection algorithms to multiple solutions"],"prefix":"10.1007","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7355-8871","authenticated-orcid":false,"given":"Giorgos","family":"Borboudakis","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2492-959X","authenticated-orcid":false,"given":"Ioannis","family":"Tsamardinos","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,5,1]]},"reference":[{"key":"731_CR1","doi-asserted-by":"crossref","DOI":"10.1002\/0471249688","volume-title":"Categorical data analysis","author":"A Agresti","year":"2002","unstructured":"Agresti A (2002) Categorical data analysis, 2nd edn. 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