Publications Reviewed Searched Medline Hand screening of abstracts & papers Original study on human cancer patients Published in English before December.
Learning Algorithm Evaluation. Algorithm evaluation: Outline Why? Overfitting How? Train/Test vs Cross-validation What? Evaluation measures.
Prachi Saraph, Mark Last, and Abraham Kandel. Introduction Black-Box Testing Apply an Input Observe the corresponding output Compare Observed output with.
©2012 Paula Matuszek GATE information based on //gate.ac.uk/sale/tao/splitch18.html ©2012 Paula Matuszek.
Presenter: Chien-Ju Ho 2009.4.21. Introduction to Amazon Mechanical Turk Applications Demographics and statistics The value of using MTurk Repeated.
Artificial Intelligence 8. Supervised and unsupervised learning Japan Advanced Institute of Science and Technology (JAIST) Yoshimasa Tsuruoka.
Learning In Bayesian Networks. General Learning Problem Set of random variables X = {X 1, X 2, X 3, X 4, …} Training set D = { X (1), X (2), …, X (N)
The CLEF 2005 Cross-Language Image Retrieval Track Organised by Paul Clough, Henning Müller, Thomas Deselaers, Michael Grubinger, Thomas Lehmann, Jeffery.
Mixture of trees model: Face Detection, Pose Estimation and Landmark Localization Presenter: Zhang Li.
Statistical Translation and Web Search Ranking Jianfeng Gao Natural language processing, MSR July 22, 2011.
Decision Trees and Boosting Helge Voss (MPI–K, Heidelberg) TMVA Workshop, CERN, 21 Jan 2011.
Breast cancer is a complex and heterogeneous disease Tumor samples Protein expression Clinical features Mutational status Adapted from TCGA, Nature 2012.