«predictive models»
۳۷۳٬۳۹۲ نتیجهStatistical Approaches to Predictive Modeling
Prediction, i.e., predicting the potential values or value distributions of certain attributes for objects in a database or data warehouse, is an attractive goal in data mining. To predict future events not shown in databases with high quality can help users to make smart busines
The management and mining of multiple predictive models using the predictive modeling markup language
We introduce a markup language based upon XML for working with the predictive models produced by data mining systems. The language is called the Predictive Model Markup Language (PMML) and can be used to define predictive models and ensembles of predictive models. It provides a f
Predictive modelling of football injuries
The goal of this thesis is to investigate the potential of predictive modelling for football injuries. This work was conducted in close collaboration with Tottenham Hotspurs FC (THFC), the PGA European tour and the participation of Wolverhampton Wanderers (WW). Three investigatio
Fast meta-models for local fusion of multiple predictive models
Fusing the outputs of an ensemble of diverse predictive models usually boosts overall prediction accuracy. Such fusion is guided by each model's local performance, i.e., each model's prediction accuracy in the neighborhood of the probe point. Therefore, for each probe we instanti
eTOXlab, an open source modeling framework for implementing predictive models in production environments
BACKGROUND Computational models based in Quantitative-Structure Activity Relationship (QSAR) methodologies are widely used tools for predicting the biological properties of new compounds. In many instances, such models are used as a routine in the industry (e.g. food, cosmetic or
Latent Variable and Predictive Models of Dynamical Systems
The modeling of discrete-time dynamical systems under uncertainty is an important endeavor, with applications in a wide range of fields. We propose to investigate new models and algorithms for inference, structure and parameter learning that extend our capabilities of modeling su
Dynamics of the predictive power and investment performance of a generalized takeover prediction model By Julian
We here investigate the dynamical stability of both the predictions and the economic outcomes of a takeover forecasting model. The time dependence is studied by calculating multiple forecasts over the 10-years period 1999-2008. In order to account for geographical variations, the
Probabilistic Prediction Models for Landslide Hazard Mapping
A joint conditional probability model is proposed to represent a measure of a future landslide hazard, and five estimation procedures for the model are presented. The distribution of past landslides was divided into two groups with respect to a fixed time. A training set consisti
Towards Conceptual Predictive Modeling for Big Data Framework
Predictive modeling is the process of creating a statistical model from data with the purpose of predicting future behavior. In recent years, the amount of available data has increased exponentially and “Big Data Analysis” is expected to be at the core of most future innovations.
Constructing multi-modality and multi-classifier radiomics predictive models through reliable classifier fusion
Radiomics aims to extract and analyze large numbers of quantitative features from medical images and is highly promising in staging, diagnosing, and predicting outcomes of cancer treatments. Nevertheless, several challenges need to be addressed to construct an optimal radiomics p