Machine Learning （ML） - April 1993, issue 1 论文列表
| 点击这里查看 Machine Learning 的JCR分区、影响因子等信息 |
| 卷期号： April 1993, issue 1 |
| 发布时间： |
| 卷期年份： 1993 |
| 卷期官网： https://link.springer.com/journal/10994/volumes-and-issues/11-1 |
本期论文列表
Coding Decision Trees
Active Learning Using Arbitrary Binary Valued Queries
Noise-Tolerant Occam Algorithms and Their Applications to Learning Decision Trees
Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
An Analysis of the WITT Algorithm
Introduction
Introduction
Inferential theory of learning as a conceptual basis for multistrategy learning
Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning
Multistrategy learning and theory revision
Multistrategy Learning and Theory Revision
Learning causal patterns: Making a transition from data-driven to theory-driven learning
Learning Causal Patterns: Making a Transition from Data-Driven to Theory-Driven Learning
Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou–Fasman Algorithm for Protein Folding
Using knowledge-based neural networks to improve algorithms: Refining the Chou-Fasman algorithm for protein folding
Balanced Cooperative Modeling
Balanced cooperative modeling
Plausible Justification Trees: A Framework for Deep and Dynamic Integration of Learning Strategies
Plausible justification trees: A framework for deep and dynamic integration of learning strategies
Publisher's note