✦ LIBER ✦

Automatic model selection in cost-sensitive boosting

✍ Scribed by Stefano Merler; Cesare Furlanello; Barbara Larcher; Andrea Sboner

Book ID: 104443349
Publisher: Elsevier Science
Year: 2003
Tongue: English
Weight: 132 KB
Volume: 4
Category: Article
ISSN: 1566-2535
DOI: 10.1016/s1566-2535(02)00100-8

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Automatic model selection in a hybrid pe

Automatic model selection in a hybrid perceptron/radial network

✍ Shimon Cohen; Nathan Intrator 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 124 KB

Alternative attractors may boost uncerta

Alternative attractors may boost uncertainty and sensitivity in ecological models

✍ Egbert H. van Nes; Marten Scheffer 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 203 KB

Blind Model Selection for Automatic Spee

Blind Model Selection for Automatic Speech Recognition in Reverberant Environments

✍ Couvreur, Laurent ;Couvreur, Christophe 📂 Article 📅 2004 🏛 Springer 🌐 English ⚖ 314 KB

An Analysis of Unobserved Selection in a

An Analysis of Unobserved Selection in an Inpatient Diagnostic Cost Group Model

✍ Hongjun Kan; Dana Goldman; Emmett Keeler; Nasreen Dhanani; Glenn Melnick 📂 Article 📅 2003 🏛 Springer US 🌐 English ⚖ 139 KB

Automatic smoothing parameter selection

Automatic smoothing parameter selection in non-parametric models for longitudinal data

✍ Berhane, Kiros ;Rao, J. Sunil 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 103 KB 👁 1 views

The selection of smoothing parameters by generalized cross-validation (GCV) becomes complicated when dealing with correlated data. In this paper, we develop an automatic algorithm for selection of smoothing parameters in non-parametric longitudinal models by combining the BRUTO algorithm of Hastie (

Automatic selection of ROIs in functiona

Automatic selection of ROIs in functional imaging using Gaussian mixture models

✍ J.M. Górriz; A. Lassl; J. Ramírez; D. Salas-Gonzalez; C.G. Puntonet; E.W. Lang 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 847 KB