Induction, of and by Probability

📝 Original Info

• Title: Induction, of and by Probability
• ArXiv ID: 1304.3433
• Date: 2013-04-15
• Authors: Researchers from original ArXiv paper

📝 Abstract

This paper examines some methods and ideas underlying the author's successful probabilistic learning systems(PLS), which have proven uniquely effective and efficient in generalization learning or induction. While the emerging principles are generally applicable, this paper illustrates them in heuristic search, which demands noise management and incremental learning. In our approach, both task performance and learning are guided by probability. Probabilities are incrementally normalized and revised, and their errors are located and corrected.

💡 Deep Analysis

Deep Dive into Induction, of and by Probability.

This paper examines some methods and ideas underlying the author’s successful probabilistic learning systems(PLS), which have proven uniquely effective and efficient in generalization learning or induction. While the emerging principles are generally applicable, this paper illustrates them in heuristic search, which demands noise management and incremental learning. In our approach, both task performance and learning are guided by probability. Probabilities are incrementally normalized and revised, and their errors are located and corrected.

📄 Full Content

Reference