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12 International Workshop on Software Technology and Engineering Practice (STEP'04), 2006
A predictive software model (PSM) is any model extracted from software engineering data that can be readily used to make a prediction regarding some aspect of a software system. In this paper, we present some well known applications of predictive software models, and propose new potential applications for PSMs.
Jelber Sayyad-Shirabad +2 more
openaire +1 more source
A predictive software model (PSM) is any model extracted from software engineering data that can be readily used to make a prediction regarding some aspect of a software system. In this paper, we present some well known applications of predictive software models, and propose new potential applications for PSMs.
Jelber Sayyad-Shirabad +2 more
openaire +1 more source
Connection Science, 2009
Modelling long-term dependencies in time series has proved very difficult to achieve with traditional machine-learning methods. This problem occurs when considering music data. In this paper, we introduce predictive models for melodies. We decompose melodic modelling into two subtasks.
Paiement, Jean-François +2 more
openaire +1 more source
Modelling long-term dependencies in time series has proved very difficult to achieve with traditional machine-learning methods. This problem occurs when considering music data. In this paper, we introduce predictive models for melodies. We decompose melodic modelling into two subtasks.
Paiement, Jean-François +2 more
openaire +1 more source
Approaches to predictive modeling
The Annals of Thoracic Surgery, 1994A four-component clinical model for process improvement is presented: (1) patient-related risk factors, (2) clinical processes ordered by the attending physician, (3) the hospital's execution of the physician's plan, and (4) the patient's outcome, or outcomes, resulting from the first three factors.
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Model Assessment for Predictive Classification Models
Communications in Statistics - Theory and Methods, 2010In this article, we present a novel methodology to assess predictive models for a binary target. In our opinion, the main weakness of the criteria proposed in the literature is not to take the financial costs of a wrong decision into account. The objective of this article is to derive the optimal cut-off in predictive classification models and to ...
UBERTI, PIERPAOLO, Figini S.
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Models for Prediction Purposes
Journal of Mental Science, 1959It is natural for psychiatrists and others dealing with mental patients to enquire what the prognosis is for a patient showing certain symptoms or syndromes of symptoms—taking age and the history of the patient's illness into account. The very fact that the symptoms generally form syndromes points to their interdependence to a greater or lesser degree,
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A prediction model for bovine ostertagiasis
Veterinary Record, 1979A mathematical model based on development and mortality rates, and incorporating data on the infectivity, fecundity and migratory behaviour of Ostertagia ostertagi, was used to predict the level of pasture contamination and the occurrence of clinical ostertagiasis in grazing calves during 1975 and 1976. A comparison of the predicted and observed events
Gettinby, G. +3 more
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A novel improved model for building energy consumption prediction based on model integration
Applied Energy, 2020Shilei Lu, Wei Feng, Wang Ran
exaly
A new grey prediction model and its application in landslide displacement prediction
Chaos, Solitons and Fractals, 2021Shaohong Li, Na Wu
exaly

