Discovery of causal mechanisms from data is a fundamental problem of several computational disciplines including computer science, statistics, and applied
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Alexander Statnikov
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Alexander Statnikov
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new●●●ork , New York, 10128
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View this contact
Alexander Statnikov
1619 3r●●●●●●●apt 17f
new●●●ork , New York, 10128
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View this contact
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Computational Causal Discovery Laboratory | Alexander Statnikov | ccdlab.org Reviews
https://ccdlab.org
Discovery of causal mechanisms from data is a fundamental problem of several computational disciplines including computer science, statistics, and applied
ccdlab.org
Pillars | Computational Causal Discovery Laboratory
http://ccdlab.org/pillars
Computational Causal Discovery Laboratory. Members & Collaborators. Publications in Multicriteria Optimization. Methods should have formal guarantees to find a solution, their properties should be well-characterized. Methods should scale well to high-dimensional datasets and should be adopted to specific data distributions. Methods should be comprehensively benchmarked in a variety of datasets to find the best performing techniques. The benchmarking results should inform development of new methods.
Members & Collaborators | Computational Causal Discovery Laboratory
http://ccdlab.org/members-collaborators
Computational Causal Discovery Laboratory. Members & Collaborators. Publications in Multicriteria Optimization. Members & Collaborators. Members & Collaborators. Alexander Statnikov, Ph.D. Alexander.Statnikov@med.nyu.edu. Bisakha Ray, M.S. Graduate Student, Biomedical Informatics. Sisi Ma, M.S., Ph.D. Machine Learning Programmer / Data Analyst. Constantin F. Aliferis, M.D., Ph.D. Administrative and Operations Support. Pat Donohue, M.B.A. Collaborators outside New York University. Laura E. Brown. Members ...
White papers | Computational Causal Discovery Laboratory
http://ccdlab.org/pub/white-papers
Computational Causal Discovery Laboratory. Members & Collaborators. Publications in Multicriteria Optimization. Aliferis CF, Statnikov A. Aphinyanaphongs Y, Fu L, McCreary M, McCutcheon M. Predictive Coding: Value, Technology and Strategic Opportunity. Members & Collaborators. Publications in Multicriteria Optimization. 2016 Computational Causal Discovery Laboratory.
Alexander Statnikov | Computational Causal Discovery Laboratory
http://ccdlab.org/alexander-statnikov
Computational Causal Discovery Laboratory. Members & Collaborators. Publications in Multicriteria Optimization. Machine learning analysis of biomedical and other high-dimensional data. Causal structure/network discovery and analysis. Predictive modelling and supervised learning (classification and regression). Benchmarking/evaluation of methods for analysis of high-dimensional data. Current Affiliation and Positions. Vice President, Digital Modeling and Machine Learning. New York, New York.
Books | Computational Causal Discovery Laboratory
http://ccdlab.org/pub/books
Computational Causal Discovery Laboratory. Members & Collaborators. Publications in Multicriteria Optimization. Aliferis CF, Hardin DP, Guyon I. A Gentle Introduction to Support Vector Machines in Biomedicine, Volume 2: Case Studies and Benchmarks. Aliferis CF, Hardin DP, Guyon I. A Gentle Introduction to Support Vector Machines in Biomedicine, Volume 1: Theory and Methods. Guyon I, Dror G, Statnikov A. Brookline, Massachusetts, 2012. Brookline, Massachusetts, 2010. Members & Collaborators.
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Connecticut Criminal Defense Lawyers Association (CCDLA)
8211; Connecticut Criminal Defense Lawyers Association. CCDLA Trainings Downloadable Materials. Stay tuned for the following upcoming CCDLA events. Representing Juveniles in Adult Court – Full Day Seminar, March 2018. Representing Students in Disciplinary Proceedings – Dinner Meeting, March 2018. Dealing with the Stressors of Criminal Defense Practice – Dinner Meeting, April 2018. CLFree 2018 – Full Day CLE Seminar, June 14, 2018. Click to share on Facebook (Opens in new window). April 11, 2017. Click to...
Computational Causal Discovery Laboratory | Alexander Statnikov
Computational Causal Discovery Laboratory. Members & Collaborators. Publications in Multicriteria Optimization. The Computational Causal Discovery Laboratory is contributing to this effort by developing, testing and applying causal discovery methods suitable for biomedical (clinical, molecular, and multi-modal) and general data of high-dimensionality. Specifically, we are interested in causal discovery methods/approaches that:. Find direct causes and/ordirect effects of the response variable of interest.
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Computational Cognitive Development Lab at Cogsci. Members of our lab will presenting research at the upcoming Cognitive Science Society! CoCoDev is very proud of honors thesis students: Joseph Colantonio, Raquel Damaghi, and Kristina Roose. Learn how you and your child can participate in science!
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CRIMINAL DEFENCE LAWYER'S FORUM. Comments and Criticism on Issues in Criminal Justice - Hosted By David G. Chow. Tuesday, August 4, 2009. In Defence of our System of Justice (by David Andrews). If his killers weren’t released on bail, Keni Su’a would be alive today! In the light of any tragedy we can always point to something, if it had been different, would have caused a different result. Calgary Criminal Defence Lawyer. Criminal Defence Lawyers Forum. Friday, July 10, 2009. Reverend Martin Niemoller's ...
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