CSCI 567
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CSCI-567 Projects (fall 2007)
Administrative
| Paper |
Due on Dec 6, 2007 at beginning of class (email + hardcopy)
Should be 6-8 pages long
Must include references to relevant work
Use style from a public ML-type conference such as ICML, KDD, IJCAI, AAAI, NIPS, ICDM, etc.
Write as though you are submitting the paper to the conference |
| Presentation |
Length: 9 minutes for 1-person groups
Length: 14 minutes for 2-3 person groups
Length: 18 minutes for 4 person groups
Only questions of clarifications allowed.
Presentation can be done by one or all of the group members
SLIDES DUE ON PRESENTATION DAY. Please mail them (PPT or PDF) to Sofus before noon on that day.
DAY OF PRESENTATION: If you have more than one person in the group, then provide a sheet detailing who worked on what (with respect to the paper, research and presentation). This should be signed by all members when you turn it in. |
| Grade breakdown |
- 5% attendance.
- 20% presentation.
- 25% paper writing quality: Clarity of writing, is problem well explained and motivated, is relevant work identified and cited properly, are results clearly presented. Can a reader understand it well enough to replicate your results.
- 50% research.
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Projects
| Group | Presentation Date + Time | Description |
| Gaurav Agarwal, William Chang |
Dec 6, 5:50pm |
NetFlix challenge. |
| Carlos Alcala |
Dec 6, 4:25pm |
Application of machine learning algorithms for fault detection in a polyester film process. |
| Rahul Bhagat |
Dec 4, 4:00pm |
Discovering verb classes using pair-wise constraints. |
| Yao-Yi Chiang |
Dec 6, 5:30pm |
Raster Map Classification. |
| Jnanaeshwar Das |
Dec 4, 5:00pm |
Modeling a robotic boat using machine learning. |
| Lior Elazary |
Dec 6, 4:15pm |
Context effects in classifying data. |
| Leonid Furman, Fred Zyda |
Dec 6, 3:50pm |
Using machine learning algorthms to play Connect Four game. |
| Tapana Gupta, Zvi Topol |
Dec 4, 5:45pm |
Predicting Stock Price Trends. |
| Daniel Hewlett |
Dec 6, 6:05pm |
Predicting Scene Descriptions at the word level. |
| Jing Jin, Feng Qi, Quan Wang |
Dec 6, 5:00pm |
Nearest Neighbor search in High Dimensional Data. |
| Mrinal Kalakrishan, Dae Hyung Park, Evangelos Theodorou |
Dec 4, 4:25pm |
Reinforcement Learning Methods for learning controls. |
| Rahol Kaliki, Manish Kurse, Giby Raphael |
Dec 4, 4:10pm |
Robotic controller for prosthetic limbs. |
| Rizwan Khan, Sean Little, Chuping Liu, Rajiv Prithvi |
Dec 4, 5:10pm |
A study of machine learning techniques to detect mortgage fraud. |
| Duckho Kim, Taehwan Kim, Yoonji Kim |
Dec 4, 6:00pm |
Gesture Recognition using nonlinear dimension reduction. |
| Yuping Lin, Li Zhang |
Dec 6, 5:15pm |
Comparison of SVM and AdaBoost on Human Detection in Images. |
| Celso M. de Melo |
Dec 6, 3:40pm |
Evolutionary Expression of Emotions in Virtual Humans. |
| Emily Mower |
Dec 6, 3:30pm |
Personality and Emotion of Synthetic Characters. |
| Urvashi Patni |
Dec 6, 4:05pm |
Active Information Retrieval. |
| Rushit Patel, Ankit Rana |
Dec 4, 5:30pm |
Financial Prediction with Neural Networks. |
| Oana Postolache |
Dec 4, 3:50pm |
Discriminative Syntax-Based Machine Translation. |
| Jason Riesa |
Dec 4, 3:40pm; |
Detecting Good and Bad Tree Fragments in Natural Language Translation. |
| John Spiegel |
Dec 6, 5:40pm |
Music Preference. |
| Ashish Vaswani |
Dec 4, 3:30pm |
Minimization of Translation Rules. |
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