Neural
Computation & Signal Processing Lab (NCSP)
Advanced
Research Seminar
סמינר
מתקדם במדעי
המחשב
Wednesday
14-16 Schreiber 309
Prof. Nathan Intrator
Next Meeting:
Wednesday, Oct 27, 2010 - Schreiber 309, 2:00pm-3:30pm
Using Iterative Ridge Regression to explore associations between
Conditioned Variables
Nimrod Bar-Yaakov, Zehava Grossman, Nathan Intrator
Abstract
Bayesian
and Dependency networks graphically map the joint probabilities of random
variables. This paper addresses a specific case of joint probability mapping,
where the information presented is the probabilistic associations of the random
variables under a certain condition variable. The information is presented
using a Directed Graph, where its nodes represent the random variables and its
arcs the associations that arise under the condition.
Providing
such mapping, may help uncovering associations that occur due to specific
events, such as correlations between genetic mutations following medical
treatment.
We
introduce a method that efficiently handles the correlation mapping. This
method is based on ridge-regression, where we can utilize a numerical robust
and computational efficient algorithm implementation.
Seminar Overview
The seminar
time will be used for a meeting of my lab students or prospective students who
are interested in the field.
We shall have
formal presentations as well as informal discussions.
Current
applications include:
Brain Imaging: EEG, fMRI – Epilepsy detection,
network discovery, brain state interpretation
Biomedical Signal Processing:
Cardiac functionality interpretation
Earthquake Detection
Financial Markets Anomaly Detection
Presentations
should emphasize the machine learning, robust statistics and robust modeling in
their work.
Nathan’s
office hours: Schreiber 221, x7598,
Wednesday 4-5 (please set up by email)
NCSP Past seminars
2004-5 Sem I 2004-5 Sem II … Brain
Imaging 2007-8 2008-9
General instructions for seminar presenters
The
presentation should have an introductory component that can enable all students
understand the background of the seminar. They should then have a
methodological component which explains at least a single method that can be
used in a variety of applications. Finally, there should be some application
results which demonstrate the usefulness of the proposed methods.
In
contrast, a review presentation should describe several computational methods
which are aimed at addressing a specific problem, together with a clear
background of that problem. Preferably some comparison between the methods
should be provided.
Abstract
of the presentation should be sent to me up to three days before the
presentation and a slides up to a day before the presentation.
Relevant Reading
Material
Sound
analysis Auditory display of hyperspectral colon tissue images Biomedical
signals and sensors Robust
measurement of Carotid Heart sound delay Heart
Mechanical and Electrical System Heart
info and abnormalities (video) Sensors Cheap off-the
shelf TinyOs operated robots |
Machine
learning and Statistics Information
theory T. Cover Max
Entropy Methods R. Skiling Pattern
recognition and neural networks B. Ripley Neural networks for
pattern recognition Bishop Digital
Signal Analysis: A Computer Science Perspective J.
Stein. Biomedical
Signal Analysis R. M. Rangayyan Breath Sounds Methodology N.
Gavriely Introduction to
Bayesian Networks K. Murphy Software TinyOS operating sys for wireless applications |
Date |
Title |
Speaker |
Oct
28 |
Antagonistic
relationship between gamma power and visual evoked potential revealed in human
visual cortex |
Eran
Privman |
Nov
11 |
Measurement
of Cardiac Acoustic Delay |
Alexandra
Dana |
Nov
25 |
Accurate
Measurement of Echo Returns Under the Ground |
Sasha
Apartsin |
Dec
2 |
Discovery
of Multiple-Level Heart Sound Connected with Physiological Variability |
Sveta
Kofman |
Dec
9 |
Multi-view
point correspondence using spatio-temporal similarities in video sequences |
Rotem
Litman |
Feb
24 |
Organizational
Meeting |
Nathan/Hezy |
Mar
3 |
MSc
Thesis Presentation |
Ilana
Podlipski |
Mar
25 |
Inference
of Brain Mental States from EEG Single Trials |
Yehudit
Hasson |
Apr
18 |
Canceled
|
|
May
5 |
HMM
fMRI |
Elad
Tsur |
May
19 |
Predicting
Free Choices in Humans: an Electrophysiological Study |
Omri
Perez |
May
26 |
Granger/Simulations |
Shahar
Jamshi |
Jun
9 |
SP
EEG Epilepsy |
Yaron
Ziner |