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Searching for interacting features in subset selection


Searching for Interacting Features - CiteSeerX

With this metric, we will design a fast filter algorithm that can deal with feature interaction in subset selection. Let D be a data set of m instances, D ...

Searching for interacting features in subset selection

Machine learning enables computer systems to learn, and improve performance. Feature selection facilitates machine learning (e.g., classification) by aiming to ...

Searching for interacting features in subset selection

Feature (attribute) interaction presents a challenge to feature subset selection for classification. This is because a feature by itself might have little ...

Searching for interacting features in subset selection - IOS Press

Feature (attribute) interaction presents a challenge to feature subset selection for classification. This is because a feature by itself might ...

[PDF] Searching for Interacting Features - Semantic Scholar

Feature interaction presents a challenge to feature selection for classification. A feature by itself may have little correlation with the target concept, ...

Searching for interacting features in subset selection - IOS Press

Feature selection facilitates machine learning (e.g., classification) by aiming to remove irrelevant features. Feature (attribute) interaction presents a ...

Searching for interacting features in subset selection - ResearchGate

Interact is an information-theoretic feature subset selection method that considers getting significant interaction between the features and target to eliminate ...

(PDF) Searching for interacting features | Huan Liu - Academia.edu

Abstract Feature interaction presents a challenge to feature selection for classification. A feature by itself may have little correlation with the target ...

Searching for interacting features - ACM Digital Library

Feature interaction presents a challenge to feature selection for classification. A feature by itself may have little correlation with the target concept, ...

Searching for interacting features in subset selection - Academia.edu

Feature selection is one of the important issues in the domain of system modelling, data mining and pattern recognition. Subset selection evaluates a subset of ...

I On Interacting Features in Subset Selection - IGI Global

in feature selection process. MAIN FOCUS. Finding high-order feature interaction using Definitions. 1 and 2 entails exhaustive search of all feature subsets.

Searching for Interacting Features. | Request PDF - ResearchGate

Feature interaction presents a challenge to feature selection for classification. A feature by itself may have little correlation with the target concept, ...

On Interacting Features in Subset Selection: Book Chapter | IGI Global

On Interacting Features in Subset Selection: 10.4018/978-1-60566-010-3.ch167: The high dimensionality of data poses a challenge to learning tasks such as ...

Feature Subset Selection: A Correlation Based Filter Approach

Moreover, it has been shown that the Wrapper using a backward search can identify relevant features even when they interact [Kohavi and. John, 1996]. The next ...

Lecture 16: Feature subset selection I

n A search strategy to select candidate subsets n An objective function to ... interaction between features ω2 ω3 ω4 ω5 ω1 x. 1 x2 ω1 ω2 ω3 ω5 ω4 x. 4 x.

Wrappers for feature subset selection - Stanford AI Lab

the full set of features, feature interactions are easier for the search to identify. The following observations can be made: Page 29. R. Kohavi, G.H. John ...

Feature Subset Selection - an overview | ScienceDirect Topics

Based on the findings of “Subset Evaluation”, it is anticipated that “Subset Generation” would generate more suitable feature subsets. Finding the search ...

8.3 Feature Interaction | Interpretable Machine Learning

When features interact with each other in a prediction model, the prediction cannot be expressed as the sum of the feature effects, because the effect of one ...

Evolutionary feature subsets selection based on interaction ...

Feature selection methods try to find the best subset of N features among 2 N − 1 candidate subsets. In all of these approaches, a feature subset is nominated ...

Selecting feature subset for high dimensional data via the ...

Zhao and Liu. [17] demonstrate that feature interactions can be implicitly handled by a carefully designed feature evaluation metric and a search strategy with ...