EECS 545: Machine Learning: Projects, Fall
2007
- Musical Style Replication
Using Apprenticeship
Learning,
Joel Acevedo, Steve Gliske, Magesh Jayapandian
- Voted best poster presentation by the class
- Applied Statistical and Machine
Learning Methods in the U.S. Equities Markets, Sahand Ahmad, Quang
Duong, Evran Ozkul
- Experimenting with
Multi-Class Semi-Supervised
Support Vector Machines and High-Dimensional
Datasets,
Bob Avery, Alex Gonopolskiy, Ben Nash, Jeremy Thomas
- Improved Discrimination of
Asperger Patients using fMRI and Machine
Learning,
Hari Baradwaj,
Amanda Funai, Will Grissom
- Sparse Kernel
Density Estimation, Gowtham
Bellala, Ganga Devadas, Bhavani Gopalakrishnan, Kumar Sricharan
- Chemical Structure Image Extraction
from Scientific Literature
using Support Vector Machine, Yoojin Choi, Won Seok Huh, Alex
Min, Junkap Park
- COMPRESSED DETECTION VIA MANIFOLD
LEARNING, Hyun Jeong Cho, David Liu, and Jae
Young Park
- Blog Classification with
Co-training, Joshua Gerrish, Vahed
Qazvivian, and Xiaodong Shi
- Robust Kernel Methods in Clustering and
Dimensionality Reduction Problems,
Jian Guo, Debi Roy, and Jing Wang
- Tractable Online
Inference of Infectious Disease
Dynamics on Social Networks, Patrick Harrington,
Yasin Senbabaoglu, and James Sweeney
- Recognition of handwritten digit with
transformed
invariant distance, Christine Kim, SeungCheol Yang, and
Buyoung Yun
- Exploring Grapheme-to-Phoneme
Induction with
Machine Learning, Terry Szymanski and Kevin Wilson