Text| Item type | Current library | Collection | Call number | URL | Status | Date due | Barcode | |
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Amity Central Library AIIT | 006.3 PAT-I (Browse shelf(Opens below)) | Link to resource | Available | 26517 | |||
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Amity Central Library AIIT | 006.3 PAT-I (Browse shelf(Opens below)) | Link to resource | Available | 26518 | |||
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Amity Central Library ASET CSE | 006.3 PAT-I (Browse shelf(Opens below)) | Link to resource | Available | 26519 | |||
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Amity Central Library ASET CSE | 006.3 PAT-I (Browse shelf(Opens below)) | Link to resource | Available | 26520 | |||
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Amity Central Library ASET CSE | 006.3 PAT-I (Browse shelf(Opens below)) | Link to resource | Checked out | 11/02/2020 | 26521 | ||
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Amity Central Library ASET CSE | 006.3 PAT-I (Browse shelf(Opens below)) | Link to resource | Available | 26522 | |||
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Amity Central Library ASET CSE | 006.3 PAT-I (Browse shelf(Opens below)) | Link to resource | Available | 26523 | |||
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Amity Central Library ASET CSE | 006.3 PAT-I (Browse shelf(Opens below)) | Link to resource | Available | 26524 | |||
Reference Book
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Amity Central Library ASET CSE | Reference | 006.3 PAT-I (Browse shelf(Opens below)) | Link to resource | Not For Loan | 26525 |
Browsing Amity Central Library shelves, Shelving location: ASET CSE, Collection: Reference Close shelf browser (Hides shelf browser)
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| 006.3 BOS-N NEURAL NETWORK FUNDAMENTAL WITH GRAPHIC ALGORITHMS AND APPLICATION | 006.3 JAN-F Foundations of Artificial Intelligence and Expert Systems | 006.3 KLI-F Fuzzy Sets Uncertainty and Information | 006.3 PAT-I Introduction to Artificial Intelligence and Expert Systems | 006.3 SIV-P Principles of Soft Computing | 006.3 TRI-C A Classical Approach to Artificial Intelligence | 006.31 LAN-F Foundations of Genetic Programming |
Part 1: Introduction to Artificial Intelligence - Overview of Artificial Intelligence
Knowledge: General Concepts
LISP and Other AI Programming Languages
Part 2: Knowledge Representation - Formalized Symbolic Logics
Dealing with Inconsistencies and Uncertainties
Probabilistic Reasoning
Structured Knowledge: Graphs, Frames and Related Structures
Object Oriented Representations
Part 3: Knowledge Organization and Manipulation - Search and Control Strategies
Matching Techniques
Knowledge Organization and Management
Part 4: Perception, Communication and Expert Systems - Natural Language Processing
Pattern Recognition
Visual Image Understanding
Expert Systems Architectures
Part 5: Knowledge Acquisition - General Concepts in Knowledge Acquisition
Early Work in Machine Learning
Learning by Induction
Examples of Other Inductive Learners
Analogical and Explanation Based Learning
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