LM101-071: How To Model Common Sense Knowledge Using First-Order Logic And Markov Logic Nets - Info and Reading Options
By Learning Machines 101
“LM101-071: How To Model Common Sense Knowledge Using First-Order Logic And Markov Logic Nets” Metadata:
- Title: ➤ LM101-071: How To Model Common Sense Knowledge Using First-Order Logic And Markov Logic Nets
- Author: Learning Machines 101
“LM101-071: How To Model Common Sense Knowledge Using First-Order Logic And Markov Logic Nets” Subjects and Themes:
- Subjects: ➤ Podcast - androids - artificialintelligence - bigdata - datamining - imageprocessing - machinelearning - robots - speechrecognitionnet - knowledge - random - logic - rules - fields - logical - commonsense - cyc - cycl - probabilistic - markov - firstorder - mrf - mln
Edition Identifiers:
- Internet Archive ID: ➤ rjxtgm0r9w7xc735rtotvu2ofp4yx4bwxevm7mlk
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"LM101-071: How To Model Common Sense Knowledge Using First-Order Logic And Markov Logic Nets" Description:
The Internet Archive:
This episode of Learning Machines 101 explains how to use first-order logic and Markov logic nets to represent common sense knowledge in machine learning algorithms links to free software for implementing Markov logic nets and a free database of common-sense knowledge is provided.
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Available Downloads for “LM101-071: How To Model Common Sense Knowledge Using First-Order Logic And Markov Logic Nets”:
"LM101-071: How To Model Common Sense Knowledge Using First-Order Logic And Markov Logic Nets" is available for download from The Internet Archive in "audio" format, the size of the file-s is: 37.20 Mbs, and the file-s went public at Mon Mar 29 2021.
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- Source: Internet Archive
- All Files are Available: No
- Number of Files: 9
- Number of Available Files: 4
- Added Date: 2021-03-29 04:28:35
- Scanner: Internet Archive Python library 1.9.6
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