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José Antonio Martín H.
  • Male
  • Spain
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Short Bio:
Machine learning and data-scientist professional and researcher.

PhD in Computer Science and Artificial Intelligence (March 2009) from the Technical University of Madrid (UPM).

I have worked on the development and application of new algorithms for sequential prediction and decision making, e.g., k-armed bandits, contextual bandits, reinforcement learning algorithms.

Some relevant skills:
* Algorithmic randomness and model-learning applied to sequence/graph prediction tasks.
* Bayesian classification and prediction methods.
* Different forms of Neuro-Evolution, Neuro-Controllers and Incremental learning in Artificial Neural Networks.
* Evolutionary and other forms of stochastic global optimization methods.
* Machine Perception, e.g. Computer Vision, Clustering, Classification and Filtering.
* Graph theory and combinatorial optimization algorithms.

I have obtained two first places and two second places (JAMH Team) at the Second and Third Reinforcement Learning Competitions (ICML2008 in Helsinki and ICML2009 in Montreal)

I have also participated in the Exploration & Exploitation 3 Challenge (ICML2012 in Edinburgh) on Yahoo! dataset (to serve-recommend news articles on a web site) obtaining the 2th place from 38 teams from around the world.

Specialties: Machine learning and data science, optimization, artificial intelligence, combinatorial problems and graph theory.
LinkedIn Profile:
Finding a new position, Networking, New venture, Other

José Antonio Martín H.'s Blog

Scientific visualizations in early mathematical biology and morphology.

Posted on January 27, 2014 at 12:49pm 0 Comments

In 1917, Darcy W. Thompson, a pioneering mathematical biologist wrote a beautiful and exceptional demonstration about the relation between morphology and biology. Indeed, Thompson introduces its famous and elegant form of varying the Cartesian space as a tool to show the analogies between species. The central thesis of…


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