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Classification by Feature Partitioning
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-54563-8_103openalex-snapshot
Distance metrics for instance-based learning
inferredcites →https://doi.org/10.1007/3-540-57292-9_58openalex-snapshot
Complexity of the CFP, a method for Classification based on Feature Partitioning
inferredcites →https://doi.org/10.1007/3-540-57868-4_67openalex-snapshot
A hybrid nearest-neighbor and nearest-hyperrectangle algorithm
inferredcites →https://doi.org/10.1007/bf00114779openalex-snapshot
A Nearest Hyperrectangle Learning Method
inferredcites →https://doi.org/10.1007/bf00153759openalex-snapshot
Instance-Based Learning Algorithms
inferredcites →https://doi.org/10.1007/bf00153760openalex-snapshot
Information-Based Evaluation Criterion for Classifier's Performance
inferredcites →https://doi.org/10.1007/bf00993481openalex-snapshot
A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features
inferredcites →https://doi.org/10.1007/bfb0017012openalex-snapshot
On changing continuous attributes into ordered discrete attributes
inferredcites →https://doi.org/10.1007/bfb0017038openalex-snapshot
Evaluation of learning systems : An artificial data-based approach
inferredcites →https://doi.org/10.1016/0004-3702(83)90002-4openalex-snapshot
A new basis for state-space learning systems and a successful implementation
inferredcites →https://doi.org/10.1016/0020-7373(92)90018-gopenalex-snapshot
Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms
inferredcites →https://doi.org/10.1016/b978-1-55860-247-2.50066-8openalex-snapshot
Selecting Typical Instances in Instance-Based Learning
inferredcites →https://doi.org/10.1023/a:1022631118932openalex-snapshot
Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
inferredcites →https://doi.org/10.1037//0033-295x.85.3.207openalex-snapshot
Context theory of classification learning.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/3-540-62858-4_74openalex-snapshot
Classification by Voting Feature Intervals
inferred← citeshttps://doi.org/10.1007/978-1-4615-5725-8_2openalex-snapshot
Feature Weighting for Lazy Learning Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-030-04164-9_21openalex-snapshot
Intensive Investigation in Differential Diagnosis of Erythemato-Squamous Diseases
inferred← citeshttps://doi.org/10.1007/978-3-030-19738-4_28openalex-snapshot
Supervised Classification Box Algorithm Based on Graph Partitioning
inferred← citeshttps://doi.org/10.1007/978-3-030-47358-7_5openalex-snapshot
The K-Closest Resemblance Classifier for Remote Sensing Data
inferred← citeshttps://doi.org/10.1007/978-3-540-30463-0_87openalex-snapshot
Supervised Pattern Recognition with Heterogeneous Features
inferred← citeshttps://doi.org/10.1007/978-3-540-48247-5_75openalex-snapshot
Regression by Feature Projections
inferred← citeshttps://doi.org/10.1007/bfb0057452openalex-snapshot
A classification learning algorithm robust to irrelevant features
inferred← citeshttps://doi.org/10.1016/j.artmed.2004.03.003openalex-snapshot
Diagnosis of gastric carcinoma by classification on feature projections
inferred← citeshttps://doi.org/10.1016/j.asoc.2012.03.051openalex-snapshot
A novel algorithm applied to classify unbalanced data
inferred← citeshttps://doi.org/10.1016/j.ejcts.2011.01.002openalex-snapshot
Validation of the EuroSCORE risk models in Turkish adult cardiac surgical population☆☆☆
inferred← citeshttps://doi.org/10.1016/j.eswa.2009.06.037openalex-snapshot
Voting features based classifier with feature construction and its application to predicting financial distress
inferred← citeshttps://doi.org/10.1016/j.eswa.2011.09.133openalex-snapshot
Learning feature-projection based classifiers
inferred← citeshttps://doi.org/10.1016/j.knosys.2008.07.003openalex-snapshot
Modeling interestingness of streaming association rules as a benefit-maximizing classification problem
inferred← citeshttps://doi.org/10.1016/j.knosys.2010.02.002openalex-snapshot
Feature interval learning algorithms for classification
inferred← citeshttps://doi.org/10.1016/j.patcog.2003.09.003openalex-snapshot
Supervised pattern recognition by parallel feature partitioning
inferred← citeshttps://doi.org/10.1016/j.patcog.2004.03.007openalex-snapshot
Construction of all non-reducible descriptors
inferred← citeshttps://doi.org/10.1016/j.patrec.2019.07.024openalex-snapshot
Supervised classification using graph-based space partitioning
inferred← citeshttps://doi.org/10.1016/s0020-0255(03)00064-1openalex-snapshot
On the connections between statistical disclosure control for microdata and some artificial intelligence tools
inferred← citeshttps://doi.org/10.1016/s0306-4379(98)00017-9openalex-snapshot
Learning translation templates from examples
inferred← citeshttps://doi.org/10.1016/s0933-3657(98)00028-1openalex-snapshot
Learning differential diagnosis of erythemato-squamous diseases using voting feature intervals
inferred← citeshttps://doi.org/10.1016/s0950-7051(00)00060-5openalex-snapshot
Regression on feature projections
inferred← citeshttps://doi.org/10.1016/s0957-4174(99)00049-4openalex-snapshot
An expert system for the differential diagnosis of erythemato-squamous diseases
inferred← citeshttps://doi.org/10.1023/b:apin.0000027767.87895.b2openalex-snapshot
Instance-Based Regression by Partitioning Feature Projections
inferred← citeshttps://doi.org/10.1049/ip-vis:20050315openalex-snapshot
Rock image classification based on k-nearest neighbour voting
inferred← citeshttps://doi.org/10.1080/019697298125713openalex-snapshot
CONCEPT REPRESENTATION WITH OVERLAPPING FEATURE INTERVALS
inferred← citeshttps://doi.org/10.1109/cic.1997.647926openalex-snapshot
A supervised machine learning algorithm for arrhythmia analysis
inferred← citeshttps://doi.org/10.1109/hpcsim.2011.5999867openalex-snapshot
Machine learning of syndromes for different types of features
inferred← citeshttps://doi.org/10.1109/icpr.2002.1048488openalex-snapshot
Learning semantic visual concepts from video
inferred← citeshttps://doi.org/10.1109/iembs.2009.5333032openalex-snapshot
A fast and accurate method for arrhythmia detection
inferred← citeshttps://doi.org/10.1109/iembs.2011.6090867openalex-snapshot
Missing data imputation for remote CHF patient monitoring systems
inferred← citeshttps://doi.org/10.1109/tkde.2012.214openalex-snapshot
Ranking Instances by Maximizing the Area under ROC Curve
inferred← citeshttps://doi.org/10.1117/1.2354086openalex-snapshot
Classification of natural rock images using classifier combinations
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