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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