Thus, we call this classifier Group Lasso based Sparse KNN (GLSKNN). Compared to 8 other approaches, GLSKNN classifier outperforms other methods in term of classification accuracy for two public image datasets and images with different occlusion/noise levels.doi:10.1016/j.patrec.2019.12.020Shuai ZhengChris DingElsevier BVPattern Recogn...
Zheng S, Ding C (2020) A group lasso based sparse KNN classifier. Pattern Recogn Lett 131:227?233 Article Google Scholar Zheng Xl, Zhu My, Li Qb, Chen Cc, Tan Yc (2019) FinBrain: when finance meets AI 2.0. Front Inf Technol Electron Eng 20(7):914?924 Article Google Scholar Zho...
KNN is used as a classifier, and the SAM concept is used to transfer the current concept from short-term memory (STM) to long-term memory (LTM). Lu et al. [29] proposed a two-step Case-based Reasoning method to solve the drift problem. In the first step, drift is detected along ...
sentiment_classifier - Sentiment classifier using word sense disambiguation. group-lasso - Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model. jProcessing - Kanji / Hiragana / Katakana to Romaji Converter. Edict Dictionary & parallel sentences Search. Sentence...
sentiment_classifier - Sentiment classifier using word sense disambiguation. group-lasso - Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model. jProcessing - Kanji / Hiragana / Katakana to Romaji Converter. Edict Dictionary & parallel sentences Search. Sentence...
KNN is dependent on distancing estimation from the points of a Class to respectable points in class, thus acting as a Vote Based Neigbouring Classifier, where you conclude the outcome of your input to be predicted by measuring which points come close to it. You can have as much as neigbour...
k-Nearest Neighbours (kNN) k It determines the number of neighbours used when calculating the nearest-neighbours algorithm 3 for the classifier 10 for the inferring model P It is the power metric when calculating the Minkowski metric 2 Support Vector Machines (SVM) C It is the inverse of the...
Utilizing the DL architecture ResNet50, Taloni et al. [180] constructed a classifier discriminating MS progressors from non-progressors over the course of 4 years. Rather than implementing a 3D-based model on patient MRIs, 2D slices were extracted in the coronal, sagittal and axial planes, ...
Of the methods tested, MAGIC, kNN-smoothing, and SAVER outperformed the other methods most consistently, though this varied widely across evaluation criteria, protocols, datasets, and downstream analysis. Many methods show no clear improvement over no imputation, and in some cases, perform ...
(KNN), learning vector quantization (LVQ), self-organizing map (SOM), logistic regression, ordinary least squares regression (OLSR), linear regression, stepwise regression, multivariate adaptive regression spline (MARS), ridge regression, least absolute shrinkage and selection operator (LASSO), elastic...