ASTRONOMICAL IMPLICATIONS OF MACHINE LEARNING ARUN DEBRAY RAYMOND WU DECEMBER 13, 2013 Abstract. In this project we use supervised learning to develop a classifier for stellar lightcurves to detect whether

Source URL: cs229.stanford.edu

Best of both worlds: human-machine collaboration for object annotation Olga Russakovsky1 Li-Jia Li2 Li Fei-Fei1 1 Stanford University 2 Snapchat∗ Abstract

Source URL: ai.stanford.edu

• Machine learning
• Image segmentation
• ImageNet
• Conference on Computer Vision and Pattern Recognition
• Automatic image annotation
• Minimum bounding box
• Pattern recognition
• Object detection
• Computer vision

Program System for Machine Dynamics Abstract

Source URL: www.madyn.de

Odyssey 2012 The Speaker and Language Recognition WorkshopJune 2012, Singapore Description and analysis of the Brno276 system for LRE2011 Niko Br¨ummer,2 Sandro Cumani,3 Ondˇrej Glembek,1 Martin Karafi´at,1 Pav

Source URL: www.fit.vutbr.cz

• Algebra
• Mathematics
• Vectors
• Abstract algebra
• Linear algebra
• Machine learning
• Computer accessibility
• Speech recognition
• Euclidean vector
• Pattern recognition
• National Institute of Standards and Technology
• Calibration

Separating the WHEAT from the Chaff: An Empirical Design for Geo-Replicated State Machines João Sousa and Alysson Bessani LaSIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal Abstract—State machine replica

Source URL: www.di.fc.ul.pt

• Computing
• Fault-tolerant computer systems
• Data synchronization
• Network protocols
• Internet protocols
• State machine replication
• Byzantine fault tolerance
• Replication
• Hypertext Transfer Protocol
• Quorum
• WAN optimization
• Latency

Chapter 13 A User’s Guide to Support Vector Machines Asa Ben-Hur and Jason Weston Abstract The Support Vector Machine (SVM) is a widely used classifier in bioinformatics. Obtaining the best results with SVMs requires a

Source URL: www.cs.colostate.edu

ON THE COMPUTABILITY OF CONDITIONAL PROBABILITY NATHANAEL L. ACKERMAN, CAMERON E. FREER, AND DANIEL M. ROY Abstract. As inductive inference and machine learning methods in computer science see continued success, research

Source URL: cfreer.org

aspl150-margignoni-original.pdf

Source URL: www.cs.berkeley.edu

• Computing
• Computer architecture
• Software
• Instruction set architectures
• Abstract interpretation
• Symbolic execution
• Instruction set
• Emulator
• QEMU
• Machine code
• Addressing mode
• X86

A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models Brendan J. Frey and Nebojsa Jojic Abstract Computer vision is currently one of the most exciting areas of artificial intelligence re

Source URL: www.isit2004.org

• Statistics
• Statistical models
• Probability
• Graphical models
• Machine learning
• Statistical theory
• Bayesian statistics
• Markov random field
• Bayesian network
• Generative model
• Factor graph
• Discriminative model

Nonvoted Ballots and Discrimination in Florida John R. Lott, Jr. ABSTRACT

Source URL: johnrlott.tripod.com

• Electronic voting
• Voting
• Deal
• New Jersey
• Voting machine
• Ballot
• Politics
• United States election voting controversies
• Government
• Group decision-making
• Voter ID laws in the United States