• SVMlight

  • Referenced in 261 articles [sw04076]
  • performance efficiently. It includes two efficient estimation methods for both error rate and precision/recall. XiAlpha ... bounding the solution using a form of local search. A detailed description of the algorithm ... large range of problems, including text classification [Joachims, 1999c][Joachims, 1998a], image recognition tasks, bioinformatics...
  • NIMBUS

  • Referenced in 63 articles [sw04339]
  • allowed to change freely. According to the classification, a new (multiobjective) optimization problem is formed ... Multiobjective Proximal Bundle) method. The MPB method is a generalization of Kiwiel’s proximal bundle ... scalarization. The method is capable of handling several nonconvex locally Lipschitz continuous objective functions subject...
  • SIRENE

  • Referenced in 7 articles [sw17419]
  • inference into a large number of local binary classification problems, that focus on separating target ... than other state-of-the-art inference methods. Availability: All data and programs are freely...
  • Alibi

  • Referenced in 2 articles [sw35451]
  • black-box, white-box, local and global explanation methods for classification and regression models...
  • evtree

  • Referenced in 10 articles [sw14304]
  • used classification and regression tree methods like the CART algorithm are recursive partitioning methods that ... results of recursive tree methods are only locally optimal, as splits are chosen to maximize ... trees is to use global optimization methods like evolutionary algorithms. The evtree package implements ... evolutionary algorithm for learning globally optimal classification and regression trees in R. CPU and memory...
  • SLEX

  • Referenced in 18 articles [sw08605]
  • Discrimination and Classification of Nonstationary Time Series Using the SLEX Model. Statistical discrimination for nonstationary ... develop a discriminant scheme that can extract local features of the time series, is consistent ... discriminant scheme based on the SLEX (smooth localized complex exponential) library. The SLEX library forms ... type bases that are simultaneously orthogonal and localized in both time and frequency domains. Thus...
  • CARTopt

  • Referenced in 4 articles [sw08364]
  • search method for nonsmooth unconstrained optimization A random search algorithm for unconstrained local nonsmooth optimization ... forms a partition on ℝ n using classification and regression trees (CART) from statistical pattern ... partition and sampling phases provides an effective method for nonsmooth optimization. The sequence of iterates ... shown to converge to an essential local minimizer of f with probability one under mild...
  • dml

  • Referenced in 3 articles [sw20804]
  • Component Analysis, Local Fisher Discriminant Analysis, etc. These distance metric learning methods are widely applied ... feature extraction, dimensionality reduction, clustering, classification, information retrieval, and computer vision problems...
  • MIO-TCD

  • Referenced in 0 articles [sw27581]
  • dataset consists of two parts: a “localization dataset,” containing 137 743 full video frames with ... bounding boxes around traffic objects and a “classification dataset,” containing 648 959 crops of traffic ... viability of deep learning methods for vehicle localization and classification from a single video frame ... classification dataset and mean-average precision of 77% on the localization dataset. We also identify...
  • baseline

  • Referenced in 1 article [sw33502]
  • regression or classification results. Correction methods include polynomial fitting, weighted local smoothers and many more...
  • Grad-CAM

  • Referenced in 4 articles [sw35098]
  • final convolutional layer to produce a coarse localization map highlighting important regions in the image ... apply it to off-the-shelf image classification, captioning, and visual question answering (VQA) models ... based architectures. In the context of image classification models, our visualizations (a) lend insights into ... adversarial images, (c) outperform previous methods on localization, (d) are more faithful to the underlying...
  • regtools

  • Referenced in 1 article [sw27435]
  • classification. Nonparametric regression for general dimension, locally-linear option. Nonlinear regression with Eickert-White method...
  • Esub8

  • Referenced in 3 articles [sw35648]
  • peroxisome. We know subcellular localization is a typical classification problem; consequently, a one-against ... methods, ours considers the order information of protein sequences by a different method. Our method ... tested in three subcellular localization predictions for prokaryotic proteins and four subcellular localization predictions...
  • DOA-intersecting

  • Referenced in 1 article [sw34457]
  • approaches are frequently employed for source localization at low signal to noise ratio. However ... this study, we propose a new TF method for direction of arrival (DOA) estimation ... spaced and overlapping TF signature. The proposed method uses a combination of a high-resolution ... signal classification (MUSIC) algorithm. Experimental results demonstrate that the proposed source localization method achieves better...
  • ARTS

  • Referenced in 6 articles [sw13836]
  • tertiary structures, ARTS is a fully automated method for aligning a pair of nucleic acid ... even thousands of nucleotides or small local tertiary motifs with at least two successive base ... ARTS was used to construct the DARTS classification database of all solved RNA 3D structures...
  • TACOA

  • Referenced in 5 articles [sw35290]
  • simply as ”unknown”. We compared the classification accuracy of TACOA with the latest intrinsic classifier ... taxonomic ranks. For all fragment lengths, both methods achieved comparable high specificity results ... short as 800 bp. The proposed method is transparent, fast, accurate and the reference ... newly sequenced genomes become available. Moreover, the method demonstrated to be competitive when compared...
  • iMorph

  • Referenced in 1 article [sw26245]
  • scale. Automatic methods for cell extraction give access to shape analysis, classification and orientation. Moreover ... permits a local voxel classification in order to identify local shape such as shell, plates...
  • MiPred

  • Referenced in 5 articles [sw29580]
  • MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined ... miRNAs), a hybrid feature which consists of local contiguous structure-sequence composition, minimum of free ... introduced. The results suggest that our method predicts at 98.21% specificity and 95.09% sensitivity. When...
  • MISSEL

  • Referenced in 1 article [sw22344]
  • MISSEL: a method to identify a large number of small species-specific genomic subsequences ... viruses classification. In this work, we propose MISSEL (Multiple Sub Sequences Extractor for cLassification ... locally adjacent solutions for supervised machine learning problems. In particular, we design our method...
  • CLAP

  • Referenced in 1 article [sw22947]
  • automatic classification of protein sequences. It uses an alignment free approach to compute local similarities ... sequences [Martin J et al., 2010]. This method is particularly useful for comparing multi-domain...