Machine Learning, Spring 2004
Prerequisite: CMSC 421 or equivalent or permission of instructor.
Covers both statistical machine learning and traditional symbolic
machine learning. Topics include: supervised learning with
discriminitive models (linear models, decision trees, nearest
neighbor, SVMs); supervised and unsupervised learning with generative
models (graphical models such as Bayesian networks); and learning
theory (VC dimension, bias/variance tradeoff, PAC models). More
complex models for sequence data (HMMs, CRFs) and graph data (MRFs,
SCFGs) will be covered as time permits.
Tuesday May 18, 1:30-3:30 pm (one double sided page of
handwritten notes allowed).
Time and Place:
Tuesday\Thursday: 12:30pm- 1:45pm (CSI 2120)
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Grading: homeworks(20%), midterm(20%), final(30%) and class project(30%).
Homeworks: There will be four or five written homeworks. Students will
be allowed to work together on written homeworks. Students may discuss
the homework to understand the problem and reach a solution. However,
each student must write down the solution independently, and without
referring to written notes from the joint session. In other words,
each student must understand the solution well enough in order to
reconstruct it by him/herself. In addition, each student should write
on the problem set of collection of people with whom s/he
Late Homeworks: Homeworks are due at the start of class on their due
date. Recognizing that students may face unusual circumstances and
require some flexibility in the course of the semester, each student
will have a total of seven free late (calendar) days to use as s/he
sees fit. No additional individual extensions will be given. Once
these late days are exhausted, which should only happen under very
unusual circumstances, any homework turned in late will be penalized
at the rate of 50% per late day (or fraction thereof). Homeworks will
not be accepted more than a week after its due date. Late days are
from noon to noon for homeworks. Late homeworks should be handed in to
the TA. If not available (e.g., on weekends), write the date and time
on the assignment and push it under Prof. Getoor's door. It is a honor
code violation to write down the wrong time.