LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Rimoux, Norbert; Descourt, Patrice (2013)
Languages: English
Types: Preprint
Subjects: Computer Science - Computation and Language, Nonlinear Sciences - Chaotic Dynamics, Nonlinear Sciences - Adaptation and Self-Organizing Systems, Computer Science - Information Retrieval

Classified by OpenAIRE into

ACM Ref: GeneralLiterature_MISCELLANEOUS
This paper introduces the memory by Association and Reinforcement of Contexts (mARC). mARC is a novel data modeling technology rooted in the second quantization formulation of quantum mechanics. It is an all-purpose incremental and unsupervised data storage and retrieval system which can be applied to all types of signal or data, structured or unstructured, textual or not. mARC can be applied to a wide range of information clas-sification and retrieval problems like e-Discovery or contextual navigation. It can also for-mulated in the artificial life framework a.k.a Conway "Game Of Life" Theory. In contrast to Conway approach, the objects evolve in a massively multidimensional space. In order to start evaluating the potential of mARC we have built a mARC-based Internet search en-gine demonstrator with contextual functionality. We compare the behavior of the mARC demonstrator with Google search both in terms of performance and relevance. In the study we find that the mARC search engine demonstrator outperforms Google search by an order of magnitude in response time while providing more relevant results for some classes of queries.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [WIKI01] http://en.wikipedia.org/wiki/Web search query
    • [Einstein1935] A. Einstein, B. Podolsky and N. Rosen, Can quantummechanical description of physical reality be considered complete ?, Phys. Rev., vol.47, 1935.
    • [Papert1969] [Papert1969] S. Papert and M.Minsky, Perceptrons, An Introduction to Computational Geometry,MIT press, Cambridge, Massassuchets, 1969.
    • [Clark1973] The language-as-fixed-effect fallacy: A critique of language statistics in psychological research, Journal of verbal learning and verbal behavior, Elsevier, 1973.
    • [Aspect1981] A. Aspect, P. Grangier, G. Roger, Phys. Rev. Lett., 47, 460 (1981).
    • [Aspect1982] A. Aspect, P. Grangier, G. Roger, Phys. Rev. Lett., 49, 91 (1982).
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article

Collected from