Weekly Project Dashboard:Project Name: Name: Qinyun Zhu Date: 5/17/2012 4/20/2012

RKey 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, 2011 11th 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, 2011 11th IEEE International Conference on Data Mining” and relating papers

Check Points & Milestones Status Start Fcst.EndReading about Machine Learning Green 5/7/2012 5/21/2012Complete the classifier module Yellow 4/16/2012 5/21/2012Complete the evaluation module Yellow 5/7/2012QE2 Red

Check Points & Milestones Status Start Fcst.EndReading about Machine Learning Green 5/7/2012 5/21/2012Complete the classifier module Yellow 4/16/2012 5/21/2012Complete the evaluation module Yellow 5/7/2012QE2 Red

Research IssuesBasic knowledge and status-of-the-art of machine learning

Research IssuesBasic knowledge and status-of-the-art of machine learning

Plans for Next Reporting PeriodRead the Chapter Probabilistic Reasoning of the AI bookRead the Chapter Knowledge in Learning of the AI bookRead the Chapter Learning Probabilistic Models of the AI bookSearch and read papers about machine learning, parallel/distributed machine learning and its applications in social media analysis and NLP

Plans for Next Reporting PeriodRead the Chapter Probabilistic Reasoning of the AI bookRead the Chapter Knowledge in Learning of the AI bookRead the Chapter Learning Probabilistic Models of the AI bookSearch and read papers about machine learning, parallel/distributed machine learning and its applications in social media analysis and NLP

Plans Beyond Next Reporting PeriodSU: 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 PeriodSU: 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