DataWeek: Intro to Data Science and Machine Learning
Applications of Machine Learning at UCSB
boosting algorithm
Introduction to Machine Learning
Brief introduction to Machine Learning
We Can Track You If You Take the Metro: Tracking Metro Riders Using Accelerometers on Smartphones
2. Supervised Learning
Deep Learning Bing-Chen Tsai 1/21 1. outline Neural networks Graphical model Belief nets Boltzmann machine DBN Reference 2.
Semi-Supervised Learning & Summary Advanced Statistical Methods in NLP Ling 572 March 8, 2012.
11 Chapter 20 Computational Lexical Semantics. Supervised Word-Sense Disambiguation (WSD) Methods that learn a classifier from manually sense-tagged text.
Page-level Template Detection via Isotonic Smoothing Deepayan ChakrabartiYahoo! Research Ravi KumarYahoo! Research Kunal PuneraUniv. of Texas at Austin.
Active Learning for Preferences Elicitation in Recommender Systems Lior Rokach Department of Information System Engineering :
