Presentations for Fall 2009

Welcome - LINC Seminar

Presented on August 28 by Ryan Benton

Abstract:  This talk presents some background information about LINC, along with the purpose and goals of the seminar.  In addition, information about two recently funded projects are presented.

LINC Laboratory

Presented on September 4 by Ryan Benton

Abstract: This talk presents information about the resources in terms of hardware, software and data that are available to members of LINC.

Towards Building a Self Learning Environment

Presented on September 11 by Shaimaa Ali

Abstract: This presentation provides a background on Semantics and Ontology.  In addition, information about an ongoing effort to create a Self-Learning Environment, capable of constructing ontologies from existing semi-structured and unstructured sources is provided.

OpenCog: an Open Source Effort in Artificial Intelligence

Presented on September 18 by Blake Lemoine

Goal: This presentation provides a brief introduction to the OpenCog project, with a emphasis on the OpenAnswers subproject.

Efficient Algorithms for Discovering Potentially Interesting Patterns

Presented on September 26 by Raj Singh

Abstract: It is generally accepted that the most important feature of a KDD system is its ability to discover patterns that are “potentially interesting”. In previous work we formally defined two types of potentially interesting patterns, referred to as positive and negative. These two types of patterns provide statistical knowledge that is able to affect one’s belief system. The discovered patterns are actionable and can guide the user into acting differently in the future.  There are numerous application domains in which the discovery of positive and negative patterns is particularly significant, including the analysis of drug related data. For example, a discovered positive pattern might represent a rare but serious drug side effect, while a discovered negative pattern might represent a harmful combination of drugs.

Upcoming Presenters

October    2:  Fall Holiday - No Seminar
October    9:  Nicholas Ruiz
October   16:  Prabhakar Vemavarapu
October   23:  Sumi Singh
October   30: Computing Carnival - Seminar likely to be preempted
       
November   6:  Tejas Nomulwar
November  13:  Amarender Peddamalku
November  20:  TBA
November  27:  Thanksgiving Holiday
       
December   4:  TBA (last day of classes).