娱乐某人
发表于 2025-3-21 18:22:51
书目名称Combinatorial Machine Learning影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0229924<br><br> <br><br>书目名称Combinatorial Machine Learning影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0229924<br><br> <br><br>书目名称Combinatorial Machine Learning网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0229924<br><br> <br><br>书目名称Combinatorial Machine Learning网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0229924<br><br> <br><br>书目名称Combinatorial Machine Learning被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0229924<br><br> <br><br>书目名称Combinatorial Machine Learning被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0229924<br><br> <br><br>书目名称Combinatorial Machine Learning年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0229924<br><br> <br><br>书目名称Combinatorial Machine Learning年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0229924<br><br> <br><br>书目名称Combinatorial Machine Learning读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0229924<br><br> <br><br>书目名称Combinatorial Machine Learning读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0229924<br><br> <br><br>
Generalize
发表于 2025-3-21 20:53:54
Sets of Tests, Decision Rules and Treessideration from decision tables with one-valued decisions. For simplicity, we deal mainly with decision tables containing only binary conditional attributes..This chapter is devoted to the study of the sets of tests (reducts), decision rules and trees. For tests and rules we concentrate on considera
恶臭
发表于 2025-3-22 03:49:32
Bounds on Complexity of Tests, Decision Rules and Treesand tests..The chapter consists of three sections. In Sect. 3.1, we investigate lower bounds on the depth of decision trees, cardinality of tests and length of decision rules..Section 3.2 is devoted to the consideration of upper bounds on the minimum cardinality of tests and minimum depth of decisio
FAR
发表于 2025-3-22 07:25:55
Algorithms for Construction of Tests, Decision Rules and Treesdinality, decision rules with minimum length, and decision trees with minimum depth. Unfortunately, all the three optimization problems are .-hard. So we consider not only exact but also approximate algorithms for optimization..The chapter consists of four sections. In Sect. 4.1, we study approximat
删减
发表于 2025-3-22 12:33:40
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泰然自若
发表于 2025-3-22 16:05:13
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泰然自若
发表于 2025-3-22 19:19:55
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FACT
发表于 2025-3-22 22:17:02
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遗留之物
发表于 2025-3-23 03:27:57
Decision Trees and Rules over Quasilinear Information Systemsptimization problems and analysis of acyclic programs in the basis . = {. + .,. − .,1;sign(.)}..Each problem over a linear information system can be represented in the following form. We take finite number of hyperplanes in the space ℝ.. These hyperplanes divide given part . of the space into domain
胡言乱语
发表于 2025-3-23 08:56:52
Recognition of Words and Diagnosis of FaultsIn the first case, we study both decision trees and complete systems of decision rules. In the second case, we restrict our consideration to decision trees..Proofs are too complicated to be considered in this chapter. However, we give some comments relative to the tools used in the proofs or ideas o