Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Afshin Rostamizadeh"'
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researche
Publikováno v:
EC
Ad exchange platforms connect online publishers and advertisers and facilitate the sale of billions of impressions every day. We study these environments from the perspective of a publisher who wants to find the profit-maximizing exchange in which to
Publikováno v:
CIKM
We give the first O(1 over √ T)-error online algorithm for reconstructing noisy statistical databases, where T is the number of (online) sample queries received. The algorithm is optimal up to the poly(log(T)) factor in terms of the error and requi
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 29
The majority of machine learning research has been focused on building models and inference techniques with sound mathematical properties and cutting edge performance. Little attention has been devoted to the development of data representation that c
Autor:
Jac de Haan, Umar Syed, Lauren Wong, Mehryar Mohri, Arthur Asuncion, Kayur Patel, Afshin Rostamizadeh
Publikováno v:
L@S
Google Research recently tested a massive online class model for an internal engineering education program, with machine learning as the topic, that blended theoretical concepts and Google-specific software tool tutorials. The goal of this training w
Fundamental topics in machine learning are presented along with theoretical and conceptual tools for the discussion and proof of algorithms.This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes sev
Publikováno v:
2008 IEEE Workshop on Machine Learning for Signal Processing.
Kernel methods are used to tackle a variety of learning tasks including classification, regression, ranking, clustering, and dimensionality reduction. The appropriate choice of a kernel is often left to the user. But, poor selections may lead to a su
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540879862
ALT
ALT
This paper presents a theoretical analysis of sample selection bias correction. The sample bias correction technique commonly used in machine learning consists of reweighting the cost of an error on each training point of a biased sample to more clos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf445c81ce3612eb5afb8ef2f8a167e7
https://doi.org/10.1007/978-3-540-87987-9_8
https://doi.org/10.1007/978-3-540-87987-9_8
Publikováno v:
MobiHoc
We address the problem of balancing the traffic load in multi-hop wireless networks. We consider a point-to-point communicating network with a uniform distribution of source-sink pairs. When routing along shortest paths, the nodes that are centrally