CSCE 970 Topic Survey/Implementation Ideas (+ some possible research projects)
For a course project, more breadth is expected from a report (literature
reivew) than in an implementation. In both cases, a detailed description
of different approaches is expected, as well as a careful comparison
and a critical assessment. Contact me for more information on any of these.
- Optimization techniques in support vector machines (report or
implementation; could lead to a research project)
- A survey of kernels for support vector machines
(report or implementation)
- Piecewise regression (report and running experiments; could become a
research project)
- A study of multiple-instance learning, where each labeled example
consists of several instances from the instance space, and we don't
know which instance(s) is/are responsible for the label (report, maybe
implementation; could become a research project)
- Parallelizing a learning algorithm (implementation; could become a
research project)
- Applying learning to biological sequence analysis (implementation;
could become a research project)
-
Principal Component Analysis (PCA) for feature selection (report or
implementation)
- Manifold learning
- Spectral clustering
-
Automated computer system intrusion detection, i.e.
automatically identifing when a person has cracked into a computer system
(report or implementation)
-
Branch prediction to enhance program performance (computer architecture)
-
Learning to classify web pages (report or implementation)
-
Learning to make content-based queries in a visual database (report)
-
Learning in multi-agent systems (report)
-
Using reinforcement learning for optimization problems such as the
Traveling Salesman Problem (report, maybe implementation)
-
A study of new results in boosting and bagging (report, maybe
implementation)
-
Budgeted learning, where the labels are free but you have to pay for the
attributes
-
Using statistical hypothesis testing methods for comparing classifiers
(report or implementation)
-
Dealing with unlabeled data, e.g. clustering, the expectation maximization
algorithm, active learning, or co-training
(report or implementation)
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Last modified 16 August 2011; please report problems to
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