DailyAIFeed

Picks

• A quick lesson on making predictions from FlowingData
• Are tweets more accurate than science papers? from The Endeavour
• Large Scale Language Modeling in Automatic Speech Recognition from Google Research Blog
• Merck Competition Results - Deep NN and GPUs come out to play from no free hunch
• New tool aims to ensure software security policies reflect user needs from ScienceDaily: Artificial Intelligence News
• Simple SPDY and NPN Negotiation with HAProxy from igvita.com

Other News

• from Chemoton Vitorino Ramos' research notebook
• Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model - implementation - from Nuit Blanche
• DIMACS Workshop on Information-Theoretic Network Security from An Ergodic Walk
• Deskless in Seattle, Future of Data Survey from ribbonfarm
• It not necessary that Bayesian methods conform to the likelihood principle from Statistical Modeling, Causal Inference, and Social Science
• John Wilbanks: Lets Pool Our Medical Data [TED 2012] from Computational Legal Studies
• Makefiles for R/LaTeX projects from Research tips
• More data apps spawned by Sandy from Revolutions
• My Halloween costume for 2012: Matt Romney! from Matt Cutts: Gadgets, Google, and SEO
• Natural Language Processing and Machine Learning for Electronic Discovery Mike Bommarito Guest Lecture in Katz / Candeub Course from Computational Legal Studies
• Notes and comments October 31, 2012 from Monash Research Integrated Feed
• Oppa Chomsky Style from Nuit Blanche
• STOC deadline extended from My Biased Coin
• Sandy Extension from Computational Complexity
• Sandy and STOC from Turing's Invisible Hand
• Social scientists who use medical analogies to explain causal inference are, I think, implicitly trying to borrow some of the scientific and cultural authority of that field for our own purposes from Statistical Modeling, Causal Inference, and Social Science