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Interests
Team Behind Amazon Drone Delivery
www.businessinsider.com
This is part of the dream team behind Amazon drone delivery.
Amir Navot - Patents
www.freshpatents.com
Amir Navot patents Recent bibliographic sampling of Amir Navot patents listed/published in the public domain by the USPTO (USPTO Patent Application #,Title):
Business Profiles
patentbuddy: AMIR NAVOT
INTERNATIONAL BUSINESS MACHINES CORPORATION, Jerusalem, IL, US
Projects
NIPS workshop on feature extraction and feature selection...
clopinet.com
Ran Gilad-Bachrach and Amir Navot. NIPS Feature Selection Challenge: Details On Methods [report] Amir Reza Saffari Azar. Links Special issue of JMLR on variable and feature selection: The Journal of Machine Learning Research http://www.jmlr.org/ published this year the proceedings of the NIPS
Books & Literature
bokus.com: Learning Theory - John Shawe-Taylor, Yoram Singer - Häftad...
Köp Learning Theory av John Shawe-Taylor, Yoram Singer. Skickas inom vardagar. Fri frakt över 159 kr. Välkommen till Bokus bokhandel!
adlibris.com: Learning Theory - Matematiikka - nidottu( ) | Adlibris...
Tukey Meet at the Center Point" (co-authored with Amir Navot and Naftali Tishby).
DMRO-authors.owl - Data Mining Portal
www.e-lico.org
... M Amir Navot http://www.cs.huji.ac.il/~anavot/ .se M Kristiaan Pelckmans http://www.it.uu.se/katalog/kripe367 .ac.uk ...
On the Role of Feature Selection in Machine Learning - Amir Navot -...
books.google.de
Title, On the Role of Feature Selection in Machine Learning. Author, Amir Navot. Publisher, Hebrew University of Jerusalem, Length, 122 pages. Export Citation, BiBTeX EndNote RefMan ...
Related Documents
Active learning lecture
www.slideshare.net
Active Learning COMS : Learning and Empirical Inference Irina Rish IBM T.J. Watson Research Center
CiteSeerX — Is Feature Selection Still Necessary?
citeseerx.ist.psu.edu
@MISC{Navot_isfeature, author = {Amir Navot and Ran Gilad-bachrach and Yiftah Navot and Naftali Tishby}, title = {Is Feature Selection Still Necessary?}, year ...
Nearest Neighbor Based Feature Selection for Regression and its...
papers.nips.cc
Electronic Proceedings of Neural Information Processing Systems
CiteSeerX — Margin Based Feature Selection - Theory and Algorithms
citeseerx.ist.psu.edu
Margin Based Feature Selection - Theory and Algorithms ... {Ran Gilad-Bachrach Ranb and Amir Navot and ... {Margin Based Feature Selection - Theory and Algorithms} ...
Scientific Publications
CiteSeerX — Citation Query Bayes point machines
citeseer.ist.psu.edu
CiteSeerX - Scientific documents that cite the following paper: Bayes point machines
dblp: Ran Gilad-Bachrach
dblp.uni-trier.de
List of computer science publications by Ran Gilad-Bachrach
CiteSeerX — Nearest neighbor based feature selection for regression...
citeseer.ist.psu.edu
BibTeX @INPROCEEDINGS{Navot06nearestneighbor, author = {Amir Navot and Lavi Shpigelman and Naftali Tishby and Eilon Vaadia}, title …
Publications
Abstract - CORE
core.ac.uk
Abstract . By Koby Crammer, Ran Gilad-bachrach, Naftali Tishby and Amir Navot. Abstract.
An Information Theoretic Tradeoff between Complexity and Accuracy |...
link.springer.com
A fundamental question in learning theory is the quantification of the basic tradeoff between the complexity of a model and its predictive accuracy. One valid...
A Classifier for Mission-Critical Applications
tce.technion.ac.il
1. Constrain, Train, Validate and Explain: A Classifier for Mission-Critical Applications. Yaki Engel & Amir Navot. Page 2. The Importance of Being Specific. 2. Page “Mission-Critical” ? Challenges: • Hard to test the classifier in real scenarios. • Training data is biased. But,. • We have a good understanding of the features.
Query By Committee Made Real Ran - CORE
core.ac.uk
By Amir Navot and Naftali Tishby. Abstract. Training a learning algorithm is a costly task. A major goal of active learning is to reduce this cost.
Video & Audio
Amir Navot - YouTube
www.youtube.com
Teile deine Videos mit Freunden, Verwandten oder der ganzen Welt
YouTube
www.youtube.com
Auf YouTube findest du großartige Videos und erstklassige Musik. Außerdem kannst du eigene Inhalte hochladen und mit Freunden oder mit der ganzen Welt teilen.
Miscellaneous
Amir Navot | LinkedIn
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View Amir Navot’s professional profile on LinkedIn. LinkedIn is the world's largest business network, helping professionals like Amir Navot discover inside ...
Amir Navot - Citas de Google Académico
scholar.google.com.py
NS Michael Engel, Amir Navot, Izhak Saban, Yaakov Engel, Eyal Arad. Proc SPIE, Margin Based Feature Selection and Infogain with Standard ...
Half Of The Team Behind Amazon's Drone Delivery Are Ex-Microsoft ...
finance.yahoo.com
"The remaining three team members — Scott Green, Amir Navot and Rita Troup — hold various, unspecified roles on the project, but are listed as team members on Kimchi's LinkedIn page," TechCrunch reports. More From Business Insider. It's Impossible To Compete With This Woman's Snapchat Art
Amir Navot - The Hebrew University of Jerusalem - VideoLectures.NET
videolectures.net
lecture What is the Optimal Number of Features? A learning theoretic perspective as author at Workshop on Subspace, Latent Structure and Feature Selection ...
ranigb - Google Sites
sites.google.com
Ran Gilad-Bachrach, Amir Navot and Naftali Tishby, Bayes and Tukey Meet at the Center Point, In proceedings of the 17'th Conference on Learning Theory ...
ranigb
sites.google.com
Amir Navot, Ran Gilad-Bachrach, Yiftah Navot and Naftali Tishby, Is Feature Selection Still Necessary?. Lecture Notes in Computer Science, Volume 3940, Pages
Ran Gilad-Bachrach - Google Scholar
scholar.google.co.il
Tel-Aviv University - מצוטט/ת ב-5,708 מאמרים - Machine Learning - Private AI - Behavioral changes - Social emotional learning - Machine Teaching
Amazon's Gur Kimchi On The Future Of Delivery Drones | Popular Science
www.popsci.com
It seemed like a PR stunt, but since then, Amazon has run test flights, lobbied the Federal Aviation Administration, and listed drone engineer jobs
Naftali Tishby’s Site on Strikingly
naftali-tishby.mystrikingly.com
Amir Navot (PhD 2006) Ran Gilad-Bachrach (PhD 2005) ... Music and Brain, (Roni Granot, Naphtali Wagner, Israel Nelken, Naftali Tishby, Nori Jacoby.
Sea Spotter: A fully staring naval IRST system
www.spiedigitallibrary.org
SPIE Digital Library Proceedings
Journal of Machine Learning Research
jmlr.org
JMLR Volume 9. Max-margin Classification of Data with Absent Features ... Eyal Krupka, Amir Navot, Naftali Tishby; 9(Oct): , Model ...
(PDF) Kernel Query By Committee (KQBC) | Ran Gilad-bachrach -...
www.academia.edu
Amir Navot. Views. Abstract: The Query ... Kernel Query By Committee (KQBC) Authors. Ran Gilad-bachrach + 2. Ran Gilad-bachrach. Naftali Tishby. Amir Navot. …
Learning to Select Features using their Properties - …
jmlr.org
Learning to Select Features using their Properties Eyal Krupka, Amir Navot, Naftali Tishby; 9(Oct): , Abstract Feature selection is the task of ...
T Special Course in Computer and Information Science IV
www.cis.hut.fi
T Special Course in Computer and Information Science IV L: ... Amir Navot, ... CIS → T Special Course in Computer and Information Science IV.
TCE » Technion Computer Engineering CenterTCE Conference –...
tce.technion.ac.il
TCE Conference – Speakers. Speakers . Leon Bottou (Microsoft Research) Abstract | PDF Yaakov Engel and Amir Navot (Rafael) Abstract | PDF. Dana Ron …
What is the Optimal Number of Features? A learning theoretic...
videolectures.net
In this paper we discuss the problem of feature selection for supervised learning from the standpoint of statistical machine learning. We inquire what subset...
Large Margin Principles for Feature Selection
www.infona.pl
In this paper we introduce a margin based feature selection criterion and apply it to measure the quality of sets of features. Using margins we devise...
Learning Theory and Kernel Machines | springerprofessional.de
www.springerprofessional.de
Approximate Equivalence of Markov Decision Processes. Eyal Even-Dar, Yishay Mansour | OriginalPaper | Buchkapitel. An Information Theoretic Tradeoff between Complexity and Accuracy. Ran Gilad-Bachrach, Amir Navot, Naftali Tishby | OriginalPaper | Buchkapitel. Learning Random Log-Depth Decision ...
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