Learning Club



The Learning Club is a forum of Technion faculty, graduate students and visitors, organized by the Computer Science department.

Our goal is to introduce areas and share ideas and open problems in various aspects of machine learning. The club's meetings are intended to be informal.

We meet for approximately one hour every two weeks. Meetings usually take place on Thursdays at 11:30 - 12:30 in Taub (the CS department building), room no. 337.




Upcoming Events

Date Speaker Title     (and abstract) Day Time Place
Postponed Nader Bshouty To be published

Thursday 11:30 Taub 337



Previous Events

Date Speaker Title     (and abstract) Day Time Place
07.06.01 Dana Ron Testing of Clustering

Thursday 11:30 Taub 337
24.05.01 Gregory Shakhnarovich Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation

Thursday 11:30 Taub 337
17.05.01 Yael Niv Evolution of Reinforcement Learning in Bees: A Simple Explanation for Complex Foraging Behaviors

Thursday 11:30 Taub 337
19.04.01 Shai Ben-David The Apparent Tradeoff between the Computational Complexity and the Generalization Guarantees of Learning Algorithms

Thursday 11:30 Taub 337
25.01.01 Eitan Greenshtein Predictor-Selection: Another look on Model-Selection and Estimation

Thursday 11:30 Taub 337
11.01.01 Dan Geiger The Geometry of Graphical Models: Stratified Exponential Families

Thursday 11:30 Taub 337
04.01.01 Yoram Singer Solving Multiclass Problems Using Output Coding

Thursday 11:30 Taub 337
21.12.00 Nati Srebro Maximum Likelihood Markov Networks & Maximum Hypertrees

Thursday 11:30 Taub 337
15.06.00 Ranit Aharonov-Barki Emergence of Memory-Driven Command Neurons in Evolved Artificial Agents

Thursday 11:30 -
18.05.00 Yishay Mansour Planning in Markov Decision Processes using Sparse Sampling Methods

Thursday 11:30 -
04.05.00 Anat Sakov The Bootstrap and the Bootstrap Sample Size

Thursday 11:30 -
13.04.00 Ron Meir Localized Boosting Algorithms and Weak Learning

Thursday 11:30 -
20.01.00 Dan Geiger Bayesian Parameter Priors for Bayesian Networks and the Characterization of Several Probability Distribution

Thursday 11:30 Fishbach 413
23.11.99 Mark Zlochin Markov Chain Monte Carlo for Bayesian Learning

Thursday 14:30 Fishbach 413
21.10.99 Vladimir Vapnik Direct Methods in Statistical Learning Theory

Thursday 14:30 Fishbach 413
24.06.99 Naftali Tishby 'What Makes Two Patterns Similar ?' An Information Theoretic Approach to the Extraction of 'Meaningful' Bits

Thursday 13:00 Fishbach 413
03.06.99 Tsachy Weissman Prediction of Individual Binary Sequences in the Presence of Noise

Thursday 13:00 Fishbach 413
13.05.99 Neri Merhav Universal Prediction for Indexed Classes of Sources

Thursday 13:00 Fishbach 413
23.02.99 Ron Meir Support Vector Machines (part II)

Thursday15:30Fishbach 413
09.02.99 Ron Meir Support Vector Machines (part I)

Thursday 15:30 Fishbach 461
26.01.99 Robert Snapp The Local Nature of Nonparametric Pattern Classifiers
(talk slides)

Thursday 15:30 Fishbach 461
29.12.98 Shai Ben-David Hardness Results for Learning with Neural Networks

Thursday 15:30 Fishbach 461



Mailing List

We maintain a mailing list for announcing our activities. If you are interested in subscribing to the Learning Club mailing list (or if you would like to unsubscribe from the list) please email Oren.



Organizers

Yoram Baram, Ran El-Yaniv and Oren Souroujon.




This page was last updated on: Thu, June 14th, 2001 and was visited times since the last reset.

Please email Oren Souroujon regarding comments and corrections to this page.