Results 101 to 110 of about 10,474 (140)

O-PCF algorithm for one-class classification

Optim. Methods Softw., 2020
One-class classification, or outlier detection, is of great importance when data can be properly obtained from only one target class. The problem has many applications in various areas when the outlier class, defined as the complementary set to the ...
Emre Çimen, Gurkan Ozturk
semanticscholar   +1 more source

A Distributionally Robust Chance-Constrained MILP Model for Multistage Distribution System Planning With Uncertain Renewables and Loads

IEEE Transactions on Power Systems, 2018
Successful transition to active distribution networks (ADNs) requires a planning methodology that includes an accurate network model and accounts for the major sources of uncertainty.
A. Zare, C. Chung, Junpeng Zhan, S. Faried   +3 more
semanticscholar   +1 more source

Role of Subgradients in Variational Analysis of Polyhedral Functions

Journal of Optimization Theory and Applications, 2022
Understanding the role that subgradients play in various second-order variational analysis constructions can help us uncover new properties of important classes of functions in variational analysis.
N. T. V. Hang, Woosuk L. Jung, Ebrahim Sarabi   +2 more
semanticscholar   +1 more source

Polyhedral Conic Classifier for CTR Prediction

arXiv.org
This paper introduces a novel approach for click-through rate (CTR) prediction within industrial recommender systems, addressing the inherent challenges of numerical imbalance and geometric asymmetry. These challenges stem from imbalanced datasets, where
Beyza Türkmen, Ramazan Tarik Türksoy, Hasan Saribas, Hakan Çevikalp   +3 more
semanticscholar   +1 more source

Multi Center Polyhedral Conic Classifiers for Estimating Non-Linear Decision Boundaries

Signal Processing and Communications Applications Conference, 2020
—Polyhedral conic classifiers are getting popular with the performance against support vector machines (SVM). In these classifiers a conic function with a vertex point is used.
Olmayan Karar, Bölgelerini Tahmin, Edebilen Çok Merkezli, Çokyüzlü Konik, Halil Saglamlar, Hakan Cevikalp   +5 more
semanticscholar   +1 more source

Exploiting cone approximations in an augmented Lagrangian method for conic optimization

Optimization Methods and Software
We propose an algorithm for general nonlinear conic programming which does not require the knowledge of the full cone, but rather a simpler, more tractable, approximation of it.
Mituhiro Fukuda, Walter G'omez, G. Haeser, Leonardo M. Mito   +3 more
semanticscholar   +1 more source

A Hybrid Technique for Detection and Handling Noise in Binary Classification

Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Binary classification is a widely utilized method in data mining. However, the presence of noise within the training dataset can significantly impact classification accuracy.
Nur Uylaş Satı
semanticscholar   +1 more source

Cone vertex estimation in polyhedral conic classifiers

Signal Processing and Communications Applications Conference, 2017
Recently, polyhedral conic classifiers have become popular since they perform better compared to the Support Vector Machines (SVMs). Cone vertex of polyhedral conic classifiers is an important parameter and it is generally taken as the mean of positive ...
Golara Ghorban Dordinejad, Hakan Cevikalp   +1 more
semanticscholar   +1 more source

Polyhedral Robust Minkowski–Lyapunov Functions

IEEE Transactions on Automatic Control
This article creates a numerical platform for practical utility of the recently introduced theoretical framework of robust Minkowski–Lyapunov functions.
S. Raković, Sixing Zhang
semanticscholar   +1 more source

A Binary Classification Algorithm Based on Polyhedral Conic Functions

2014
Data classification is one of the main techniques of data mining. Different mathematical programming approaches of the data classification were presented in recent years. A technique that uses polyhedral conic functions (PCF) is an effective method for data classification. We present a modified classification algorithm based on PCF functions.
openaire   +1 more source