| Q |
Is GAVONTS a generic or specific solution mechanism? |
| A |
The technique is generic - it can be used in situations where we have a set of input data, and it is required to find a 'model' that can generate output values based on the input data. The method is particularly useful in situations where we may not have a good a priori model to use, and where a system's behaviour is non-linear. |
| Q |
What sort of applications can GAVONTS be used for? |
| A |
GAVONTS has a wide range of potential applications, in the financial arena alone these include: quantitative fund management, credit scoring and insurance risk estimation. |
| Q |
Isn't this approach enormously computationally intensive? |
| A |
Using GAVONTS to create the model is highly computationally intensive - we solve this by using our xml-space parallel computing technology. However, once a model has been created, it does not require significant processing power to use it. |
| Q |
How can we try out GAVONTS? |
| A |
Get in touch with us using the information given on the Contact Us page. |
