predictive modeling

If you want to think of it this way, the model is a statistical mechanics for predictive modeling.

A correct reaction mechanism is an important part of accurate predictive modeling.

Don't you have an entirely new theoretical basis for predictive modeling?"

Though all have been tested using historical data - a practice known as back testing - that does not satisfy most students of predictive modeling.

Cross-validation can be used to compare the performances of different predictive modeling procedures.

Predictive modeling can also be used to identify high-risk fraud candidates in business or the public sector.

Main research issue of this project is the mechanism of predictive modeling in audition.

They allow the most complex predictive modeling.

An alternative strategy would be to first change the representation of the data using constructive induction to facilitate predictive modeling.

In many applications of predictive modeling, the structure of the system being studied evolves over time.

Patients with fluctuating insulin requirements may benefit from a closed-loop predictive modeling approach.

It makes extensive use of data, statistical and qualitative analysis, explanatory and predictive modeling.

The decisioning authority takes into account each customer's expectations, propensities and likely behavior through the use of predictive modeling.

Aerial data is analyzed through predictive modeling which is used to predict location of sites and material in a region.

Solutions are derived from Predictive modeling of behavior in assessing risk and modeling an optimal system.

Through the strategies associated with these professions, the rational planning movement developed a collection of techniques for quantitative assessment, predictive modeling, and design.

Generally, it is these strong relationships that will warrant further investigation, and that will ultimately be of use in predictive modeling.

A benefit of batch health care analytics is the use of "predictive modeling across multiple clinical conditions.

Predictive analytics (predictive modeling using statistical and machine learning techniques)

No enthusiasm in Kate's tone, no suggestion that this could be an historic event in the field of predictive modeling.

A logistic regression predictive modeling software package suited particularly to cases involving small samples and / or missing data.

It is not intended to be a detailed SVE predictive modeling or design tool.

These artificial networks may be used for predictive modeling, adaptive control and applications where they can be trained via a dataset.

Adaptive Bidding - A predictive modeling and forecasting tool that makes optimization decisions about bid levels.

The Challenge could be solved by applying any of a wide variety of engineering, mathematic or other approaches to predictive modeling.