Thursday 4:00 - 5:30 PM; Room: 320 Soda Hall; Credit: 1-2 Units, S/U |
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| M.Farina | From Paretooptimality to fuzzyoptimality in
manycriteria optimization Problems |
STMicroelectronics Srl |
May 23, 2002
320 Soda Hall 4:00-5:00 pm |
| Laszlo T. Koczy | HIERARCHICAL FUZZY SYSTEMS AND RULE INTERPOLATION | Budapest University of Technology and Economics
and Szechenyi Istvan University (Gyor) Hungary |
May 20, 2002
320 Soda Hall 4:00-5:00 pm |
| Ashok Deshpande | Fuzzy logic application to Nitrate Risk Assessment | Distinguished Visiting Professor
Indian Institute of Environment Management (IIEM) New Mumbai, India Former Deputy Director National Environmental Engineering Research Institute (NEERI), India |
May 16, 2002
320 Soda Hall 4:00-5:00 pm |
| Jeremy Rosenblatt
(David Warthen) BISC Distinguished Lecture Series |
Ask Jeeves- Search Is More Than Just Search | Chief Technology Officer
Ask Jeeves, Inc. |
May 9, 2002
380 Soda Hall 4:00-5:30 pm |
| Danuta Rutkowska | Neuro-fuzzy architectures with hybrid learning as intelligent computational systems | Department of Computer Engineering
Technical University of Czestochowa Czestochowa, Poland |
May 9, 2002
380 Soda Hall 3:00-4:00 pm |
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Chris Ding (Joint work with Xiaofeng He, Hongyuan Zha, Parry Husbands, Horst Simon) |
Web Comminity Discovery via Unsupervised Learning | Lawrence Berkeley National Lab | April 25, 2002
310 Soda Hall 4:00-5:30 pm |
| Prof. Dr. Mihai Nadin | Anticipation: The End is Where We Start From | BISC Program; EECS-CS-UC Berkeley
Chair of Computational Design, University of Wuppertal, Germany |
April 18, 2002
320 Soda Hall 4:00-5:30 pm |
| Christine Wahmkow | Storage management by evaluation of access frequency | BISC Program; EECS-CS-UC Berkeley
Fachhochschule Stralsund University of Applied Sciences Department of mechanical engineering |
April 4, 2002
320 Soda Hall 4:00-5:30 pm |
| BISC Strategic Meeting
(by invitation only) |
Assessment and New Directions
for Research,
FUZZY PARTIAL DIFFERENTIAL EQUATIONS, FUZZY RELATIONAL EQUATIONS |
BISC Program | March 15-18, 2002
Soda Hall |
| Asa Ben-Hur | A Method For Detecting Structure In Clustered Data | BIOwulf Technologies | March 14, 2002
320 Soda Hall 4:00-5:30 pm |
| Mori Anvari | Ontologies and the Semantic Web | EECS-CS Division, UC Berkeley | March 7, 2002
320 Soda Hall 4:00-5:30 pm |
| Andreas Nuernberger | Visualizing Document Collections for Analysis and Search | BISC Program, UCBerkeley | Feb. 28, 2002
320 Soda Hall 4:00-5:30pm |
| Peter Norvig
BISC Distinguished Lecture Series |
Building Better Search Engine | Director of Machine Learning
Google Inc. |
320 Soda Hall
Jan 31, 2002 4:00-5:30pm |
| Lotfi A. Zadeh | A Prototype-Centered Approach to Adding Deduction Capability to Search Engines -- The Concept of Protoform | EECS-CS Division
University of California-Berkeley |
320 Soda Hall
Feb 7, 2002 4:00-5:30pm |
| Masoud Nikravesh | Intelligent Search Engine Based on Conceptual Semantic Indexing | EECS-CS Division
University of California-Berkeley |
320 Soda Hall
Feb 14, 2002 4:00-5:30pm |
| FLINT2002 | Fuzzy Logic and the Internet (FLINT 2002) |
NAFIPS 2002 New Orleans, LA |
June 27-29, 2002 |
| FLINT2001 | Fuzzy Logic and the Internet (FLINT2001) | BISC Program
EECS Department, CS Division UC Berkeley |
August 14-August 18, 2001 |
Upcoming Computer Science Seminars
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Spring 2002
COURSE ANNOUNCEMENT
CS 298-11
BISC Seminar on Soft Computing
Spring 2002
Course Control No: 27046
1-2 units
1 hour 1/2 lecture
DESCRIPTION: Soft computing (SC) is an associate of computing methodologies centered on fuzzy logic (FL), neurocomputing (NC), evolutionary computing (EC), machine learning (ML) and probabilistic variety of conceptual and computational tools for conception, design, construction and utilization of information/intelligent systems. The basic premise underlying soft computing is that its constituent methodologies are for the most part complementary and synergistic rather than competitive. The guiding principle of soft computing is: Exploit the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness, low solution cost and better rapport with reality. Representative of the topics discussed in the Seminar are: Qualitative and approximate reasoning; computing with word; manipulation of perceptions, intelligent control; intelligent information systems; expert systems; chaotic systems; image analysis and image understanding; speech and natural language processing; planning; learning; search; data mining; and decision analysis.
PREREQUISITES: The course is self-contained. No prior knowledge of soft computing methodology is required.
INSTRUCTIRS: Lotfi A. Zadeh and M. Nikravesh, with participation of guest lecturers. Dr. M. Nikravesh will serve as BISC administrator.
TIME AND PLACE: Thursday 4:00-5:30 PM, 320 Soda Hall
Lotfi A. Zadeh: zadeh@cs.berkeley.edu,
M. Nikravesh: nikravesh@cs.berkeley.edu
Tel: (510) 642-4959 Fax: (510) 642-1712 Room: 729 Soda
Hall
Tel: (510) 643-4522 Room: 199
MF Cory
