K-State CIS 830: Lecture Notes

[an error occurred while processing this directive][an error occurred while processing this directive]

Lecture Notes

(Last updated 03/29/2000)

Lecture 0 (Friday, January 14, 2000): A Brief Survey of Topics in Intelligent Systems Development

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 2-up)

Lecture 1 (Wednesday, January 19, 2000): Analytical and Inductive Learning and Data Engineering: Overview

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

Lecture 2 (Friday, January 21, 2000): Analytical Learning Presentation (1 of 4): Explanation-Based and Inductive Learning in ANNs

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

A paper review is due today (the deadline is extended to Sunday, January 23, 2000).

Lecture 3 (Monday, January 24, 2000): Analytical Learning Discussion (1 of 4): Explanation-Based and Inductive Learning in ANNs

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

Lecture 4 (Wednesday, January 26, 2000): Analytical Learning Presentation (2 of 4): Distal Supervised Learning and Phantom Induction

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

A paper review is due today (the deadline is extended to Friday, January 28, 2000).

Lecture 5 (Friday, January 28, 2000): Analytical Learning Discussion (2 of 4): Distal Supervised Learning and Phantom Induction

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

Lecture 6 (Monday, January 31, 2000): Analytical Learning Presentation (3 of 4): Learning with Prior Knowledge

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

A paper review is due today.

Lecture 7 (Wednesday, February 2, 2000): Analytical Learning Discussion (3 of 4): Learning with Prior Knowledge

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

Lecture 8 (Friday, February 4, 2000): Analytical Learning Presentation (4 of 4): Refinement of Approximate Domain-Theoretic Knowledge

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

A paper review is due today.

Lecture 9 (Monday, February 7, 2000): Analytical Learning Discussion (4 of 4): Refinement of Approximate Domain-Theoretic Knowledge

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

Lecture 10 (Wednesday, February 9, 2000): Artificial Neural Networks in Data Engineering - An Overview

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

Lecture 11 (Friday, February 11, 2000): Artificial Neural Networks Presentation (1 of 4): Knowledge and Reinforcement Learning in Intelligent Agents

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

A paper review is due today.

Lecture 12 (Monday, February 14, 2000): Artificial Neural Networks Discussion (1 of 4): Knowledge and Reinforcement Learning in Intelligent Agents

Lecture 13 (Wednesday, February 16, 2000): Artificial Neural Networks Presentation (2 of 4): Temporal-Difference Reinforcement Learning

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

A paper review is due today.

Lecture 14 (Friday, February 18, 2000): Artificial Neural Networks Discussion (2 of 4): Temporal-Difference Reinforcement Learning

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

Lecture 15 (Monday, February 21, 2000): Artificial Neural Networks Presentation (3 of 4): Pattern Recognition using Unsupervised ANNs

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

A paper review is due today.

Lecture 16 (Wednesday, February 23, 2000): Artificial Neural Networks Discussion (3 of 4): Pattern Recognition using Unsupervised ANNs

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

Lecture 17 (Friday, February 25, 2000): Artificial Neural Networks Presentation (4 of 4): Combining Models using Modular ANNs

A paper review is due today.

Lecture 18 (Monday, February 28, 2000): Artificial Neural Networks Discussion (4 of 4): Combining Models using Modular ANNs

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

Lecture 19 (Wednesday, March 1, 2000): Uncertain Reasoning and Data Engineering: Overview

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

Lecture 20 (Friday, March 3, 2000): Uncertain Reasoning Presentation (1 of 4): The Case for Probability

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

A paper review is due today.

Lecture 21 (Monday, March 6, 2000): Uncertain Reasoning Discussion (1 of 4): The Case for Probability

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

Lecture 22 (Wednesday, March 8, 2000): Uncertain Reasoning Presentation (2 of 4): Learning Bayesian Networks from Data

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

A paper review is due today.

Lecture 23 (Friday, March 10, 2000): Uncertain Reasoning Discussion (2 of 4): Learning Bayesian Networks from Data

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

Lecture 24 (Monday, March 13, 2000): Uncertain Reasoning Presentation (3 of 4): Decision Support Systems and Bayesian User Modeling

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

A paper review is due today.

Lecture 25 (Wednesday, March 15, 2000): Uncertain Reasoning Discussion (3 of 4): Decision Support Systems and Bayesian User Modeling

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

Lecture 26 (Friday, March 17, 2000): Uncertain Reasoning Presentation (4 of 4): KDD and Causal Reasoning

A paper review is due today.

Lecture 27 (Monday, March 27, 2000): Uncertain Reasoning Discussion (4 of 4) and Data Mining and KDD - Overview

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

Lecture 28 (Wednesday, March 29, 2000): Data Mining and KDD Presentation (1 of 4): KDD for Scientific Data Analysis

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

A paper review is due today.

Lecture 29 (Friday, March 31, 2000): Data Mining and KDD Discussion (1 of 4): KDD for Scientific Data Analysis

Lecture 30 (Monday, April 3, 2000): Data Mining and KDD Presentation (2 of 4): Relevance Determination in KDD

MS PowerPoint 97/2000 format

Acrobat PDF format (color, 6-up)

A paper review is due today.

Lecture 31 (Wednesday, April 5, 2000): Data Mining and KDD Discussion (2 of 4): Relevance Determination in KDD

Lecture 32 (Friday, April 7, 2000): Data Mining and KDD Presentation (3 of 4): Text Documents and Information Retrieval (IR)

A paper review is due today.

Lecture 33 (Monday, April 10, 2000): Data Mining and KDD Discussion (3 of 4): Text Documents and Information Retrieval (IR)

Lecture 34 (Wednesday, April 12, 2000): Data Mining and KDD Presentation (4 of 4): KDD and The Web

A paper review is due today.

Lecture 35 (Friday, April 14, 2000): Data Mining and KDD Discussion (4 of 4): KDD and The Web

Lecture 36 (Monday, April 17, 2000): Genetic Algorithms and Data Engineering: Overview

Lecture 37 (Wednesday, April 19, 2000): Genetic Algorithms Presentation (1 of 4): Classifier Systems and Inductive Learning

A paper review is due today.

Lecture 38 (Friday, April 21, 2000): Genetic Algorithms Discussion (1 of 4): Classifier Systems and Inductive Learning

Lecture 39 (Monday, April 24, 2000): Genetic Algorithms Presentation (2 of 4): Genetic Programming and Multistrategy Learning

A paper review is due today.

Lecture 40 (Wednesday, April 26, 2000): Genetic Algorithms Discussion (2 of 4): Genetic Programming and Multistrategy Learning

Lecture 41 (Friday, April 28, 2000): Genetic Algorithms Presentation (3 of 4): Genetic Wrappers for KDD Performance Enhancement

A paper review is due today.

Lecture 42 (Monday, May 1, 2000): Genetic Algorithms Discussion (3 of 4): Genetic Programming and Multistrategy Learning

Lecture 43 (Wednesday, May 3, 2000): Genetic Algorithms Presentation (4 of 4): Genetic Optimization and Decision Support

A paper review is due today.

Lecture 44 (Friday, May 1, 2000): Genetic Algorithms Discussion (4 of 4) and Conclusions

Back to the CIS830 main page

Page created: 09/06/1999
Last updated: 03/14/2000
William H. Hsu