テッパー・スクール・オブ・ビジネス - Wikipedia
テッパー・スクール・オブ・ビジネス (The Tepper School of Business) は、アメリカ合衆国ペンシルベニア州ピッツバーグにキャンパスを有するカーネギーメロン大学のビジネススクール。米国のビジネススクールにおいてTop20に位置付けられ、特にアナリティクス、金融、オペレーションマネジメント、情報技術の分野で有名。又、学士課程、修士課程、博士課程、エグゼクティブプログラムと幅広いコースを提供。旧称はThe Graduate School of Industrial Administration（略称GSIA）。授業形態はケースメソッドとマネジメントサイエンスと位置付ける定量分析が中心。又、会社経営模擬体験コンピューターシミュレーションであるマネージメントゲームを独自に開発し、1958年からカリキュラムに取り入れるなど先進的取組みが特徴。卒業生、教授陣から多数のノーベル
Dirichlet Processes: A Gentle Tutorial
Dirichlet Processes A gentle tutorial Khalid El-Arini SELECT Lab Meeting October 14, 2008 Motivation 2 We are given a data set, and are told that it was generated from a mixture of Gaussian distributions. Unfortunately, no one has any idea how many Gaussians produced the data. Motivation 3 We are given a data set, and are told that it was generated from a mixture of Gaussian distributions.
Guy Lebanon Papers
IEEE Transactions on Pattern Analysis and Machine Intelligence
idk.dvi
Information Diffusion Kernels John Lafferty School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 USA lafferty@cs.cmu.edu Guy Lebanon School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 USA lebanon@cs.cmu.edu Abstract A new family of kernels for statistical learning is introduced that ex- ploits the geometric structure of statistical models. Based on the
CMU 15-721 :: Advanced Database Systems (Spring 2018)
This course is a comprehensive study of the internals of modern database management systems. It will cover the core concepts and fundamentals of the components that are used in both high-performance transaction processing systems (OLTP) and large-scale analytical systems (OLAP). The class will stress both efficiency and correctness of the implementation of these ideas. All class projects will be i
26. Loop
Common Lisp the Language, 2nd Edition Next: Introduction Up: Common Lisp the Language Previous: Identity Function By Jon L White PREFACE: X3J13 voted in January 1989 (LOOP-FACILITY) to adopt an extended definition of the loop macro as a part of the forthcoming draft Common Lisp standard. This chapter presents the bulk of the Common Lisp Loop Facility proposal, written by Jon L White. I have edited
Researchers in Programming Languages and Compilers
Below are links to home pages of researchers working on programming language theory, design, implementation, and related areas. Disclaimer: this list is not exhaustive! Please let me know if you would like to be added to this list, or if you would like an existing entry modified or deleted. Back to the language research page Related Pages The SEL-HPC list of home pages of functional language resea
Parallel Computer Architecture and Programming : Tsinghua Summer 2017
From smart phones, to multi-core CPUs and GPUs, to the world's largest supercomputers and web sites, parallel processing is ubiquitous in modern computing. The goal of this course is to provide a deep understanding of the fundamental principles and engineering trade-offs involved in designing modern parallel computing systems as well as to teach parallel programming techniques necessary to effecti
Parallel Seam Carving
Aditya Bist, Vinay Palakkode Our final project for the course 15-418: Parallel Computer Architecture and Programming Seam Carving is a content-aware image resizing algorithm developed by Shai Avidan, of Mitsubishi Electric Research Laboratories (MERL), and Ariel Shamir, of the Interdisciplinary Center and MERL.[1] Check out the demo here. For the final writeup of the project, click here. Summary W
Paint Job Transforms Walls Into Sensors, Interactive Surfaces | Human-Computer Interaction Institute
Smart Walls React to Human Touch, Sense Activity in Room Walls are what they are — big, dull dividers. With a few applications of conductive paint and some electronics, however, walls can become smart infrastructure that sense human touch, and detect things like gestures and when appliances are used. Researchers at Carnegie Mellon University and Disney Research found that they could transform dumb
Machine Learning | CMU | Carnegie Mellon University
Machine Learning Department | CMU | Carnegie Mellon University Virtual Graduate Student Orientation August 28, 2020 We hope you can visit us for our Machine Learning Open House, which begins on March 18, 2020, with a 7:30 PM welcome reception. We have moved our graduate student orientation to virtual attendance only. Please do not hesitate to contact us with any questions and concerns regarding ou
Alona Fyshe | CMU
About Hello! I've recently moved to the University of Victoria, BC, Canada, where I am now an Assistant Professor. Come visit my new web page. This page is left for posterity. Formerly, I was a Post Doc working with Tom Mitchell at Carnegie Mellon University in the Machine Learning Department. My PhD thesis is available here. I was a member of Tom's Brain Imaging Group. We developed Machine Learni
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Woof Woof - 404 This page cannot be found! "A bug is never just a mistake. It represents something bigger. An error of thinking. That makes you who you are." ~ Elliot Alderson The page you were looking for appears to have been moved, deleted or does not exist. You could go back to where you were or head straight to our home page. Machine Learning - CMU 5000 Forbes Avenue Gates Hillman Center, 8th
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http://www.cs.cmu.edu/~lebanon/papers/uai-04.pdf
Undergraduate Admission - Undergraduate Admission - Carnegie Mellon University
https://www.stat.cmu.edu/~larry/=sml/nonparbayes
Announcing CERT Tapioca 2.0 for Network Traffic Analysis
L16-Register-Coalescing.pptx
https://www.cs.cmu.edu/~kmcrane/Projects/HeatMethod/paper.pdf
http://geometry.cs.cmu.edu/ddgshortcourse/AMSShortCourseDDG2018_DiscreteLaplaceOperators.pdf