|
93
|
Reduction Techniques for Instance-Based Learning Algorithms
– D. Randall Wilson, Tony R. Martinez
- 2000
|
|
19
|
An Integrated Instance-Based Learning Algorithm
– D. Randall Wilson, Tony R. Martinez
- 2000
|
|
173
|
Improved Heterogeneous Distance Functions
– D. Randall Wilson, Tony R. Martinez
- 1997
|
|
26
|
The omnipresence of case-based reasoning in science and application
– David W. Aha
- 1998
|
|
1
|
Weighted Instance Typicality Search (WITS): A nearest neighbor data reduction algorithm
– Brent D. Morring, Tony R. Martinez
- 2003
|
|
55
|
Instance pruning techniques
– D. Randall Wilson, Tony R. Martinez
- 1997
|
|
12
|
Careful Abstraction from Instance Families in Memory-Based Language Learning
– Antal van den Bosch
- 1999
|
|
|
k. Results indicate that this procedure is very effective in estimating good feature weights (Table 4.8). Particularly the results obtained in the
– Banded Sinusoidal Tasks
- 1994
|
|
94
|
A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms
– Dietrich Wettschereck , David W. Aha, Takao Mohri
- 1997
|
|
1
|
Feature Weighting for Nearest Neighbor by Estimation of Bayesian Networks Algorithms
– I. Inza, P. Larrañaga, B. Sierra
- 2000
|
|
22
|
Prototype Selection for Composite Nearest Neighbor Classifiers
– David B. Skalak
- 1997
|
|
2
|
Expanding k-NN analogy with instance families
– Antal van den Bosch
|
|
|
Modelling Functions From Sample Data With Classification Applications
– Sirpa Helena Saarinen
- 1994
|
|
|
An Object-Oriented Case-Based Learning System
– Johann Petrak
- 1995
|
|
|
Adaptive Agents for Information Retrieval and Data-Driven Knowledge Discovery
– Jihoon Yang
- 1999
|
|
7
|
Instance-Family Abstraction in Memory-Based Language Learning
– Antal van den Bosch
- 1999
|
|
5
|
The nearest subclass classifier: A compromise between the nearest mean and nearest neighbor classifier
– Cor J. Veenman, Marcel J. T. Reinders
- 2005
|
|
|
Dimensionality Reduction through Correspondence Analysis
– Terry R. Payne, Peter Edwards
- 1999
|
|
|
Machine Learning: An Annotated Bibliography for the 1995 AI & . . .
– David W. Aha
- 1995
|
