[PDF] Top 20 Oddness/evenness-based classifiers for Boolean or numerical data
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Oddness/evenness-based classifiers for Boolean or numerical data
... viewpoints for estimating to what extent a new item, described in terms of binary-valued features, fits with a set of existing ...respectively based on an oddness index and an evenness index, ... Voir le document complet
21
Oddness-based classification: A new way of exploiting neighbors
... classifying data sets with a large number of attributes as in the case of “Car” and “Ionosphere” and large number of instances as in the case of “Magic,” ...the numerical case 3,13 for most datasets. ... Voir le document complet
25
Oddness-based classification: A new way of exploiting neighbors
... classifying data sets with a large number of attributes as in the case of “Car” and “Ionosphere” and large number of instances as in the case of “Magic,” ...the numerical case 3,13 for most datasets. ... Voir le document complet
24
Random Forests and Decision Trees Classifiers : Effects of Data Quality on the Learning Curve
... We trained a random forest and a single pruned CART-like tree on each random sample and re- corded the confusion matrix of the corresponding entire theoretical domain space, which was used to estimate the true ... Voir le document complet
1
Discriminative vs. Generative Classifiers for Cost Sensitive Learning
... change, or are simply unknown ahead of ...the data mining and machine learning communities [1], although both have a long ...history. For a traditional classification task, it seems intuitive that ... Voir le document complet
14
Data-based models for flow control
... Data-assimilation method for RANS-driven mean flow reconstruction 3 In the present paper, contrary to these authors, we directly consider snapshots with velocity components (for example obtained ... Voir le document complet
164
2020 — Learning from imbalanced data in face re-identification using ensembles of classifiers
... systems for video-to-video face recognition are designed using faces of individuals captured from video sequences, and seek to recognize them when they appear in archived or live videos captured over a ... Voir le document complet
211
Epistemic boolean games based on a logic of visibility and control
... ϕ”) and strategic operators ✸ J ϕ (“agents in J can change values of variables they control while the other agents do not act so that ϕ is true”). The latter is an operator of “ceteris paribus strategic ability” in the ... Voir le document complet
8
Connectivity-informed Sparse Classifiers for fMRI Brain Decoding
... means for handling the curse of dimensionality in functional magnetic resonance imaging (fMRI) based brain decoding ...account for local but not long-range ...real data, we demonstrate that ... Voir le document complet
5
Refined convergence for the Boolean model
... a Boolean model based on a Poisson point process X λ with intensity measure λ 2 dx and generic shape an open disc centred at 0 of random radius R such that E[R] = 1 and E[R 2 ] < ... Voir le document complet
26
A Duality for Boolean Contact Algebras
... the Boolean complement of a. A filter x of B is a round filter if for each b ∈ x there is some a ∈ x such that a ≺ b; maximal round filters are called ... Voir le document complet
3
Overlaying classifiers: a practical approach for optimal ranking
... measure for scoring functions is the Receiver Operating Characteristic (ROC) curve which plots the rate of true positive against false positive ([vT68], ...strategies for bipartite ranking have been ... Voir le document complet
9
Epistemic boolean games based on a logic of visibility and control
... epistemic boolean game is introduced and both membership and exis- tence problems for Nash equilibrium in this class of games are ...epistemic boolean games: in our class of epistemic boolean ... Voir le document complet
9
Minimax Bridgeness-Based Clustering for Hyperspectral Data
... HS data has been an active research topic for several decades with many existing methods based on template-matching, spectral decomposition, density analysis or hierarchical representation [ ... Voir le document complet
15
Interval-Based Projection Method for Under-Constrained Numerical Systems
... x on the x axis in the same figure. When the constraints are polynomial, symbolic methods can solve a projection analytically (see e.g., [4]). However, symbolic methods can handle only very small systems because the size ... Voir le document complet
30
Approximation algorithms for grammar-based data compression
... The smallest grammar problem is also relevant to identifying important patterns in a string, since such patterns naturally correspond to nonterminals in a compact gr[r] ... Voir le document complet
113
Network- and attribute-based classifiers can prioritize genes and pathways for autism spectrum disorders and intellectual disability.
... network‐based classifiers. These classifiers assume that the known ASD and ID genes form loci within the human interactome that reflect the dis‐regulation of molecular protein complexes in the human ... Voir le document complet
18
Spatiotemporal features for asynchronous event-based data
... perspectives for apprehending the mech- anisms of visual information encoding in the ...filters for receptive fields, ...HMAX or Neocognitron ( Fukushima, 1980; Serre et ...features for a ... Voir le document complet
14
Asynchronous simulation of Boolean networks by monotone Boolean networks
... chronous or parallel strategy, each component is updated at each step: if x t is the configuration of the system at time t, then f (x t ) is the configuration of the sys- tem at time t + ... Voir le document complet
11
A reduction method for noisy Boolean networks
... method for the six ensembles (n, C) and was found to de rease when n in reases (only the rst three data points were tted, ...). For C = 2 , we obtained c 2 = 0.3342 , 0.2871 and 0.2510 ; for ... Voir le document complet
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