1. Weekly Project Dashboard: Project Name: Name: Qinyun Zhu Date: 5/10/2012 4/20/2012 R Key Accomplishments for this Reporting Period Read the AI book Chapter Learning From Examples forms of learning, supervised learning, learning decision trees, evaluation and choosing the best hypothesis, the theory of learning, regression and classification with linear models Read the AI book Chapter Quantifying Uncertainty Search for papers about applications of machine learning/ parallel machine learning in social media analysis Tamano, H., Optimizing Multiple Machine Learning Jobs on MapReduce, CloudCom, 2011 Jan Tozicka, …, A Framework for Agent-Based Distributed Machine Learning and Data Mining, AAMAS, 2007 Younghoon Kim, TWITOBI: A Recommendation System for Twitter Using Probabilistic Modeling, ICDM, 2011 Key Accomplishments for this Reporting Period Read the AI book Chapter Learning From Examples forms of learning, supervised learning, learning decision trees, evaluation and choosing the best hypothesis, the theory of learning, regression and classification with linear models Read the AI book Chapter Quantifying Uncertainty Search for papers about applications of machine learning/ parallel machine learning in social media analysis Tamano, H., Optimizing Multiple Machine Learning Jobs on MapReduce, CloudCom, 2011 Jan Tozicka, …, A Framework for Agent-Based Distributed Machine Learning and Data Mining, AAMAS, 2007 Younghoon Kim, TWITOBI: A Recommendation System for Twitter Using Probabilistic Modeling, ICDM, 2011 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 remaining sections of chapter Learning From Examples of the AI book 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 remaining sections of chapter Learning From Examples of the AI book 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