Named-Entity Recognition with Character-Level Models Dan Klein, Joseph Smarr, Huy Nguyen, and Christopher D. Manning Stanford University CoNLL-2003: Seventh.
Removing blur due to camera shake from images. William T. Freeman Joint work with Rob Fergus, Anat Levin, Yair Weiss, Fredo Durand, Aaron Hertzman, Sam.
The Application of Propensity Score Analysis to Non-randomized Medical Device Clinical Studies: A Regulatory Perspective Lilly Yue, Ph.D.* CDRH, FDA, Rockville.
A General Framework for Fast and Accurate Regression by Data Summarization in Random Decision Trees Wei Fan, IBM T.J.Watson Joe McCloskey, US Department.
Building a Statistical Model to Predict Reactor Temperatures Carl Scarrott Granville Tunnicliffe-Wilson Lancaster University [email protected].
Statistical Machine Learning- The Basic Approach and Current Research Challenges Shai Ben-David CS497 February, 2007.
Market forces I: Price Impact J. Doyne Farmer Santa Fe Institute La Sapienza, 8 marzo Research supported by Barclays Bank.
PROBABILISTIC MODELS David Kauchak CS451 – Fall 2013.
Information Extraction Lecture 6 – Decision Trees (Basic Machine Learning) CIS, LMU München Winter Semester 2014-2015 Dr. Alexander Fraser, CIS.
Decision Trees IDHairHeightWeightLotionResult SarahBlondeAverageLightNoSunburn DanaBlondeTallAverageYesnone AlexBrownTallAverageYesNone AnnieBlondeShortAverageNoSunburn.
Evaluation of classifiers: choosing the right model Rajashree Paul Irina Pekerskaya.
SAT and CSP competitions & benchmark libraries: some lessons learnt? Toby Walsh NICTA & UNSW Sydney, Australia.