✦ LIBER ✦

A probabilistic model of classifier competence for dynamic ensemble selection

✍ Scribed by Tomasz Woloszynski; Marek Kurzynski

Book ID: 108234636
Publisher: Elsevier Science
Year: 2011
Tongue: English
Weight: 786 KB
Volume: 44
Category: Article
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2011.03.020

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Optimal dynamic portfolio selection for

Optimal dynamic portfolio selection for projects under a competence development model

✍ Walter J. Gutjahr 📂 Article 📅 2009 🏛 Springer 🌐 German ⚖ 367 KB

A probabilistic model for evaluation of

A probabilistic model for evaluation of neural network classifiers

✍ M.T. Musavi; K.H. Chan; D.M. Hummels; K. Kalantri; W. Ahmed 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 842 KB

A dynamic model for the optimal selectio

A dynamic model for the optimal selection of secondary indexes

✍ M Hatzopoulos; J.G Kollias 📂 Article 📅 1983 🏛 Elsevier Science 🌐 English ⚖ 706 KB

Probabilistic modeling of a nonlinear dy

Probabilistic modeling of a nonlinear dynamical system used for producing voice

✍ Edson Cataldo; Christian Soize; Rubens Sampaio; Christophe Desceliers 📂 Article 📅 2008 🏛 Springer 🌐 English ⚖ 488 KB

A comprehensive overview of a non-parame

A comprehensive overview of a non-parametric probabilistic approach of model uncertainties for predictive models in structural dynamics

✍ C. Soize 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 710 KB

On a probability Model for Classifying t

On a probability Model for Classifying the Unknown Causes of Death Due to Two Competing Risks into Assignable Causes

✍ Suddhendu Biswas; Dr. Hamed Saad Noor 📂 Article 📅 1988 🏛 John Wiley and Sons 🌐 English ⚖ 277 KB 👁 1 views

A probability model to classify the. otheryise unclassified cauees of death due to two competing risks R1 and Rz has been evolved in this paper. A simple model based on Poisson inputs has been illustrated by numerical illustrations. Further generalization of the model with more than two competing ri