Slide 1Error Analysis for Learning-based Coreference Resolution Olga Uryupina 27.05.08 Slide 2 Outline CR: state-of-the-art and our system Distribution of errors Discussion:…

Slide 1Adaboost and Object Detection Xu and Arun Slide 2 Principle of Adaboost Three cobblers with their wits combined equal Zhuge Liang the master mind. Failure is the mother…

Slide 1 LS-SVMlab & Large scale modeling Kristiaan Pelckmans, ESAT- SCD/SISTA J.A.K. Suykens, B. De Moor Slide 2 Content I. Overview II. Classification III. Regression…

Slide 1 What can I provide? Mark 7/6/04 Slide 2 Who am I? FJU –BS: Computer Science Information Engineering NYU –MS: CS UMDNJ –PHD: Bioinformatics Slide 3 Bioinformatics…

Slide 1 Daphne’s Approximate Group of Students Slide 2 Outline Linear Regression Unregularized L2 Regularized What is a GP? Prediction with a GP Relationship to SVM Implications…

Slide 1 Pieter Abbeel and Andrew Y. Ng Apprenticeship Learning via Inverse Reinforcement Learning Pieter Abbeel Stanford University [Joint work with Andrew Ng.] Slide 2 Pieter…

Slide 1 Detecting Anaphoricity and Antecedenthood for Coreference Resolution Olga Uryupina ([email protected])[email protected] Institute of Linguistics, RAS 13.11.08 Slide…

Slide 1 Mapping Between Taxonomies Elena Eneva 11 Dec 2001 Advanced IR Seminar Slide 2 Mapping Between Taxonomies  Formal systems of orderly classification of knowledge,…

Slide 1 Predicting Gene Functions from Text Using a Cross- Species Approach Emilia Stoica and Marti Hearst SIMS University of California, Berkeley Slide 2 Motivation Want…

Slide 1 Pyramids of Features For Categorization Greg Griffin and Will Coulter (see Lazebnik et al., CVPR 2006, too) Slide 2 Intuition: Approximates optimal partial matching…