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Application Notes

eeUniversity Displaying 1 - 3 of 71

Lecture 28
Current Mode ICs
Lecture 1
Introduction to Artificial Intelligence
Lecture 2
Intelligent Agents
Lecture 3
State Space Search
Lecture 4
Uninformed Search
Lecture 5
Informed Search
Lecture 6
Informed Search - 2
Lecture 7
Two Players Games - I
Lecture 8
Two Players Games - II
Lecture 9
Constraint Satisfaction Problems - 1
Lecture 10
Constraint Satisfaction Problems 2
Lecture 11
Knowledge Representation and Logic
Lecture 12
Interface in Propositional Logic
Lecture 13
First Order Logic
Lecture 14
Reasoning Using First Order Logic
Lecture 15
Resolution in FOPL
Lecture 18
Semantic Net
Lecture 19
Reasoning in Semantic Net
Lecture 20
Frames
Lecture 21
Planning - 1
Lecture 22
Planning - 2
Lecture 33
Introduction to Learning - II
Lecture 34
Rule Induction and Decision Trees - I
Lecture 35
Rule Induction and Decision Trees - II
Lecture 36
Leavning Using neural Networks - I
Lecture 37
Learning Using Neural Networks - II
Lecture 38
Probabilistic Learning
Lecture 39
Natural Language Processing - I
Lecture 40
Natural Language Processing II
Lecture 1
Introduction to Artificial Intelligence
Lecture 2
Problem Solving by Search
Lecture 3
Searching with Costs
Lecture 4
Informed State Space Search
Lecture 5
Heuristic Search: A* and Beyond
Lecture 6
Problem Reduction Search: AND/OR Graphs
Lecture 7
Searching Game Trees
Lecture 8
Knowledge Based Systems: Logic and Deduction
Lecture 9
First Order Logic
Lecture 10
Inference in First Order Logic
Lecture 11
Resolution - Refutation Proofs
Lecture 12
Resolution Refutation Proofs
Lecture 13
Logic Programming : Prolog
Lecture 14
Prolog Programming
Lecture 15
Prolog: Exercising Control
Lecture 16
Additional Topics
Lecture 17
Introduction to Planning
Lecture 18
Partial Order Planning
Lecture 19
GraphPLAN and SATPlan
Lecture 20
SATPlan
Lecture 21
Reasoning Under Uncertainity
Lecture 22
Bayesian Networks
Lecture 23
Reasoning with Bayes Networks
Lecture 24
Reasoning with Bayes Networks (Contd.)
Lecture 25
Reasoning Under Uncertainity: Issues
Lecture 26
Learning : Decision Trees
Lecture 27
Learning : Neural Networks
Lecture 28
Back Propagation Learning
Lecture 8
Analysis Using Matlab
Lecture 9
Sinusoidal steady state
Lecture 10
Transfer Function and Pole-Zero Domain 1
Lecture 11
Transfer Function and Pole-Zero Domain 2
Lecture 12
The Sinusoid
Lecture 16
Power ports
Lecture 23
DC Machines Part 1
Lecture 24
DC Machines Part 2
Lecture 25
DC Generators Part 1
Lecture 26
DC Generators Part 2
Lecture 27
DC Motors Part 1
Lecture 28
DC Motors Part 2
Lecture 29
DC Motor Part 3
Lecture 47
Control Engineering
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