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10-701/15-781, Fall 2006
Eric Xing and Tom Mitchell School |
Project
Reports
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- Sachin Agarwal and Shilpa Arora, Context Based Word Prediction for Texting Language
- Michael P. Ashley-Rollman and Lucia Castellanos Pérez-Bolde, TAN network classifiers for fMRI data
- Peter Barnum and Vinithra Varadharajan, When to Picnic?
- Byron Boots, Inferring Depth from Single Images in Natural Scenes
- Joseph K. Bradley and Patrick Gage Kelley and Aaron Roth, Author Identification from Citations
- Taráz E. Buck and Bin Zhang, SVM Kernel Optimization: An Example in Yeast Protein Subcellular Localization Prediction
- Lillian Chang, Feature selection for grasp classification
- Kit Chen, TAN trees for fMRI Brain Image Classification
- Jana Diesner, Part of Speech Tagging for English Text Data
- Kevin Gimpel, Beating the NFL Football Point Spread
- Dhiraj Goel and Dhruv Batra, Predicting User Preference for Movies using NetFlix database
- Brian R. Hirshman, Training Set Properties and Decision-Tree Taggers: A Closer Look
- Justin S. Hogg, Improving the Accuracy of Base Calls and Error Predictions for GS 20 DNA Sequence Data
- Roger Hsiao, Inductive Programming by Expectation Maximization Algorithm
- Charles Jackson, Classification of brain imaging data
- Xiaoqian Jiang and Wanhong Xu, Contactless hand recognition
- Mahesh Joshi, Sequential Learning for Dialog Act Classification in Tutorial Dialog
- Gunhee Kim, Finding Correspondence Candidates for Indoor Object Recognition using Logistic Regression
- Elie Krevat and Elliot Cuzzillo, Improving Off-line Handwritten Character Recognition with Hidden Markov Models
- Anagha Kulkarni, Dictionary Definitions: The likes and the unlikes
- Jun-young Kwak, The Optimized Physical Model for Real Rover Vehicle
- Byoungkoo Lee and Jacob Joseph, Learning a probabilistic model of rainfall using graphical models
- Ying Liu, Analysis of N-terminal Acetylation data with Kernel-Based Clustering
- Lei Li and Yimeng Zhang, An empirical study of text classification using Latent Dirichlet Allocation
- Rolf Allan Luders and Krishnan Ramnath, Online Control Policy Search for the Robotic All-Terrain Surveyor using Reinforcement Learning
- Suvrajit Maji, Microarray Gene Expression Data Analysis with SVM
- Maxim Makatchev, Textual entailment in the domain of physics
- Lidio M. C. Meireles, Evaluation of a Kernel Function for Recognizing microRNAs
- Sebastian Scherer and Takeshi Takahashi, report (corrupted)
- Aabid Shariff and Ahmet Bakan, Tree Augmented Naïve Bayesian Classifier with Feature Selection for fMRI Data
- Suyash S. Shringarpure, Phrase detection
- Benjamin Stephens, Learning the Attack Policy of the Apteronotus albifrons
- Kei Usui, Near Optimal sensor placement for precipitation measurement
- Prasanna Velagapudi, Using HMMs to boost accuracy in optical character recognition
- Hao-Chuan Wang, On Designing the Feature Space for Scoring Creative Idea Generation
- Yi-Chia Wang, Predicting Social Modes of Knowledge Co-construction for Collaborative Learning
- Chuang Wu, Feature Selection for fMRI Classification
- Qi Wu and Yi Zhang, Parking Lots Space Detection
- Kai Yu, Generating Gaussian Mixture Models by Model Selection For Speech Recognition
- Yangbo Zhu, Hierarchical Bayesian Models for Text Classification
- Stefan Zickler, Learning optimal parameters of Graph-Based Image Segmentation