'Prediction accuracy' presentation slideshows

Development and Validation of Prognostic Classifiers using High Dimensional Data

Development and Validation of Prognostic Classifiers using High Dimensional Data. Richard Simon, D.Sc. Chief, Biometric Research Branch National Cancer Institute http://brb.nci.nih.gov. Class Prediction. Predict which tumors will respond to a particular treatment

1.37k views • 127 slides

Predicting cellular localization

Predicting cellular localization. Bioe C144/C244 Fall 2010. Eukaryotic protein localization. Why localize?. Subcellular localization is a key functional characteristic of proteins.

1.09k views • 60 slides

Class II MHC binding

Gibbs Clustering Massimo Andreatta , Morten Nielsen CBS, Department of Systems biology DTU, Denmark . Class II MHC binding. MHC class II binds peptides in the class II antigen presentation pathway Binds peptides of length 9-18 (even whole proteins can bind!) Binding cleft is open

670 views • 52 slides

Advanced Architecture

Advanced Architecture. Yung-Yu Chuang. with slides by S. Dandamudi, Peng-Sheng Chen, Kip Irvine, Robert Sedgwick and Kevin Wayne. Basic architecture. Basic microcomputer design. clock synchronizes CPU operations control unit (CU) coordinates sequence of execution steps

693 views • 52 slides

A Popularity-Based Prediction Model for Web Prefetching

A Popularity-Based Prediction Model for Web Prefetching. By Ravi Shankar Dubasi Sivani Kavuri. What is Web Latency? What is Web Caching? How does Web Caching help in reducing Web Latency? What is Web Prefetching?

519 views • 40 slides

A simple and fast secondary structure prediction method with hidden neural networks

A simple and fast secondary structure prediction method with hidden neural networks. Authors: Kuang Lin, Victor A. Simossis, Willam R. Taylor and Jaap Heringa Presented by: Rashmi Singh Sowmya Tirukkovaluru. Motivation. We introduce a secondary structure prediction method

454 views • 30 slides

Virtual

Virtual. modelling. of proteins. Jacek Leluk Interdyscyplinarne Centrum Modelowania Matematycznego i Komputerowego, Uniwersytet Warszawski. Main functions of proteins (selected) : Enzymes Immunoglobulins Transport factors ( e.g. hemoglobin) Hormones, neurotransmitters

390 views • 26 slides

Phoenix: Towards an Accurate, Practical and Decentralized Network Coordinate System

Phoenix: Towards an Accurate, Practical and Decentralized Network Coordinate System. Yang Chen 1 , Xiao Wang 1 , Xiaoxiao Song 1 , Eng Keong Lua 2 , Cong Shi 3 , Xiaohan Zhao 1 , Beixing Deng 1 , Xing Li 1 1 Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

369 views • 26 slides

Alpha-helical transmembrane protein structure prediction Timothy Nugent

Alpha-helical transmembrane protein structure prediction Timothy Nugent. Alpha-helical transmembrane proteins. Transmembrane (TM) proteins are involved in a wide range of vital cellular processes. Comprise about 20-30% of a typical proteome.

379 views • 25 slides

Jupiter Mutual Events

Jupiter Mutual Events. Sep 2014 to Aug 2015 . A mutual event is an eclipse or occultation of one satellite by another satellite Mutual events can only occur when the plane of the orbits is edge-on to the Earth. For Jupiter, this occurs for a 12-month period every 6 years.

467 views • 24 slides

Cache Replacement Policy Using Map-based Adaptive Insertion

Cache Replacement Policy Using Map-based Adaptive Insertion. Yasuo Ishii 1,2 , Mary Inaba 1 , and Kei Hiraki 1 1 The University of Tokyo 2 NEC Corporation. Introduction. CORE. Modern computers have multi-level cache system

380 views • 22 slides

Mobility and Predictability of Ultra Mobile Users

Mobility and Predictability of Ultra Mobile Users. Jeeyoung Kim and Ahmed Helmy. Mobility Models?. Mobility models: based on WLAN usage traces How realistic are these mobility models? How much mobility do these WLAN traces capture?. Why VoIP?. VoIP Characteristics

314 views • 20 slides

CHREC F3: Target Tracking

Rafael Garcia 11/26/08. CHREC F3: Target Tracking. F3 Goals , Motivations, & Challenges. Goals Develop applications & design strategies for scalable architectures from case-study Analyze & examine available multi-FPGA platforms and tools for scalable system design Motivations

344 views • 19 slides

Remote Sensing of Global Warming-Affected Inland Water Quality

Remote Sensing of Global Warming-Affected Inland Water Quality. Lin Li (PI) Meghna Babbar - Sebens (Co-I) Kaishan Song ( Postdoc ) Lenore Tedesco (Collaborator) Graduate Students: Slawamira Bruder , Shuai Li, Shuangshuang Xie Tingting Zhang Department of Earth Sciences

276 views • 17 slides

Global predictors of regression fidelity

Global predictors of regression fidelity. A single number to characterize the overall quality of the surrogate. Equivalence measures Coefficient of multiple determination Adjusted coefficient of multiple determination Prediction accuracy measures Model independent: Cross validation error

282 views • 15 slides

Riding the tide of sentiment change: sentiment analysis with evolving online reviews

Riding the tide of sentiment change: sentiment analysis with evolving online reviews. Yang Liu, Xiaohui Yu, Aijun An, Xiangji Huang. General Idea. Perform sentiment analysis on IMDB movie review Using the sentiment to predict box office revenues. Sentiment Analysis: PLSA.

382 views • 12 slides

Decision trees

616 views • 10 slides

Frequent Route Based Continuous Moving Object Location- and Density Prediction on Road Networks

123 views • 4 slides

Placement Algorithms

Exploiting Sharing for Data Center Consolidation. Timothy Wood, Jim Cipar, Gabriel Tarasuk-Levin, Peter Desnoyers, Emery Berger, Mark Corner, Prashant Shenoy University of Massachusetts, Amherst. Motivation and Challenges.

115 views • 1 slides

ntu.sg

June 21-24 , ICML2010 Haifa, Israel. School of Computer Engineering. Presented by: Mingkui Tan, Li Wang, Ivor W. Tsang. Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets. Background. Experimental Results on Huge Dimensional Problems.

174 views • 1 slides