Weekly Project Dashboard: Project Name: Name: Qinyun Zhu Date: 5/17/2012 4/20/2012 R Key Accomplishments for this Reporting Period Read the AI book Chapter Learning From Examples Part of Artificial Neural Network, Nonparametric Models, Support Vector Machine, Ensemble Learning Read the AI book Chapter Learning Probabilistic Models Read the AI book Chapter Probabilistic Reasoning Representing Knowledge in An Uncertain Domain, The Semantics of Bayesian Networks, Efficient Representation of Conditional Distributions Read “Implementation of a Large-scalable Social Data Analysis System based on MapReduce,2011 First ACIS” Reading “TWITOBI: A Recommendation System for Twitter Using Probabilistic Modeling, th IEEE International Conference on Data Mining” and relating papers Key Accomplishments for this Reporting Period Read the AI book Chapter Learning From Examples Part of Artificial Neural Network, Nonparametric Models, Support Vector Machine, Ensemble Learning Read the AI book Chapter Learning Probabilistic Models Read the AI book Chapter Probabilistic Reasoning Representing Knowledge in An Uncertain Domain, The Semantics of Bayesian Networks, Efficient Representation of Conditional Distributions Read “Implementation of a Large-scalable Social Data Analysis System based on MapReduce,2011 First ACIS” Reading “TWITOBI: A Recommendation System for Twitter Using Probabilistic Modeling, th IEEE International Conference on Data Mining” and relating papers Check Points & MilestonesStatusStartFcst.End Reading about Machine LearningGreen5/7/20125/21/2012 Complete the classifier moduleYellow4/16/20125/21/2012 Complete the evaluation moduleYellow5/7/2012 QE2Red Check Points & MilestonesStatusStartFcst.End Reading about Machine LearningGreen5/7/20125/21/2012 Complete the classifier moduleYellow4/16/20125/21/2012 Complete the evaluation moduleYellow5/7/2012 QE2Red Research Issues  Basic knowledge and status-of-the-art of machine learning Research Issues  Basic knowledge and status-of-the-art of machine learning Plans for Next Reporting Period Read the Chapter Probabilistic Reasoning of the AI book Read the Chapter Knowledge in Learning of the AI book Read the Chapter Learning Probabilistic Models of the AI book Search and read papers about machine learning, parallel/distributed machine learning and its applications in social media analysis and NLP Plans for Next Reporting Period Read the Chapter Probabilistic Reasoning of the AI book Read the Chapter Knowledge in Learning of the AI book Read the Chapter Learning Probabilistic Models of the AI book Search and read papers about machine learning, parallel/distributed machine learning and its applications in social media analysis and NLP Plans Beyond Next Reporting Period SU:  Finish the reading about machine learning and master the algorithms  Read about distributed/parallel machine learning and its applications  Find a topic about QE2  Finish the classifier for concerns about twitter messages Plans Beyond Next Reporting Period SU:  Finish the reading about machine learning and master the algorithms  Read about distributed/parallel machine learning and its applications  Find a topic about QE2  Finish the classifier for concerns about twitter messages