J
John Platt
Researcher at Microsoft
Publications - 369
Citations - 66980
John Platt is an academic researcher from Microsoft. The author has contributed to research in topics: Support vector machine & Artificial neural network. The author has an hindex of 83, co-authored 369 publications receiving 60242 citations. Previous affiliations of John Platt include Google & California Institute of Technology.
Papers
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Proceedings ArticleDOI
Robust Rls with Round Robin Regularization Including Application to Stereo Acoustic Echo Cancellation
Jack W. Stokes,John Platt +1 more
TL;DR: It is shown that modern microprocessors with SEMD (single instruction, multiple data) instructions can now implement RLS for practical problems thereby avoiding the numerical stability issues associated with fast RLS (FRLS).
Recursive Attribute Factoring
TL;DR: Several surprising results come with a simple representational shift inspired by probabilistic relational models: in addition to being computationally more tractable, the new model produces factors that more cleanly decompose the document collection.
Proceedings ArticleDOI
Living-Off-The-Land Command Detection Using Active Learning.
Talha Ongun,Jack W. Stokes,Jonathan Bar Or,Ke Tian,Farid Tajaddodianfar,Joshua Neil,Christian Seifert,Alina Oprea,John Platt +8 more
TL;DR: LOLAL as mentioned in this paper is an active learning framework for detecting Living-Off-the-Land attacks that iteratively selects a set of uncertain and anomalous samples for labeling by a human analyst.
Patent
Performing query expansion based upon statistical analysis of structured data
TL;DR: In this article, a query is configured to search over a plurality of documents belonging to a particular domain, and the data is provided based at least in part upon a statistical analysis undertaken with respect to structured data pertaining to the particular domain.
An Application of Reinforcement Learning to Aerobatic Helicopter Flight
TL;DR: This paper presents the first successful autonomous completion on a real RC helicopter of the following four aerobatic maneuvers: forward flip and sideways roll at low speed, tail-in funnel, and nose- in funnel using differential dynamic programming (DDP), an extension of the linear quadratic regulator (LQR).