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We gradually go down from the easiest to the hardest, expanding the amount of space to explore and thus the resource to involve.

This API is the core yet might require interactions (especially during early phase through the diagnosis questions) thus the need for a business side to it, the equivalent of an "human mediated API". (at StMaur SNCF office station on a yellow note 20/04/2010)

Dynamic associative table

type of problemalgo1 of complexity O
type of problemalgo2 of complexity >= O
......

cf ~utopiah/desktop\ before\ cloudification/hohop.txt (01/04/2010)

Statistics of assigned algorithms to problems

History of what has been tried before to refine and/or re-order the associative table

Possibility space to explore

  1. from small
    1. existing and easy to automate
  1. to large
    1. difficult to define and presumably in a very large amount of possibilities

Relying not solely on algorithms (AImatrix and Services) but also datatsets (DATAmatrix and Services) and more generally integrated in order to provide simulations (innovation chain).

CEC 2005 IEEE Congress on Evolutionary Computation, Proceedings (see COmparing Continuous Optimisers (COCO) platform for systematic and sound comparisons of real-parameter global optimizers for updates)

On the consistency of ranking algorithms by J. Duchi, L. Mackey and M. I. Jordan (admin of MLcomp.org), ICML 2010

Mathematical complexity

  1. Open problem
  2. ...
  3. Polynomial complexity of low degree

L'arbre de la complexite Le Pouvoir Des Mathematiques, La Recherche 2009

Questions for "diagnosis"

Each step is associated with an increasingly important and precise amount of questions in order to localize how far we should go.

From questions to automated analysis

The set of questions form a network of pattern that aims to be used without human supervision.

To organize


Page last modified on December 16, 2010, at 11:43 AM