| LDR | | 02087nmm uu200409 4500 |
| 001 | | 000000331119 |
| 005 | | 20240805163446 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438417694 |
| 035 | |
▼a (MiAaPQ)AAI10837965 |
| 035 | |
▼a (MiAaPQ)iastate:17458 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 658 |
| 100 | 1 |
▼a Pham, Hieu Trung. |
| 245 | 10 |
▼a Generalized Weighting for Bagged Ensemblesbles. |
| 260 | |
▼a [S.l.] :
▼b Iowa State University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 87 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B. |
| 500 | |
▼a Adviser: Sigurdur Olafsson. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Iowa State University, 2018. |
| 520 | |
▼a Ensemble learning is a popular classification method where many individual simple learners contribute to a final prediction. Constructing an ensemble of learners has been shown to consistently improve prediction accuracy over a single learner. T |
| 520 | |
▼a In this dissertation, we focus our attention to bagged ensembles |
| 520 | |
▼a Going a step further we generalize our weights such that we allow simultaneous control over bias and variance. In particular, we introduce a regularization term that controls the variance reduction for bagged ensembles. Therefore, a new tunable |
| 520 | |
▼a To aid in the applicability of this body of work, the author discusses an R package that allows users to implement our proposed weighting scheme to arbitrary bagged ensembles. The package provides tools for constructing tunable bagged ensembles |
| 590 | |
▼a School code: 0097. |
| 650 | 4 |
▼a Industrial engineering. |
| 690 | |
▼a 0546 |
| 710 | 20 |
▼a Iowa State University.
▼b Industrial and Manufacturing Systems Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-02B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0097 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999599
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |