Results 51 to 60 of about 7,350 (305)
Multi-label streaming feature selection has received widespread attention in recent years because the dynamic acquisition of features is more in line with the needs of practical application scenarios.
Jinghua Liu +4 more
doaj +1 more source
Bayesian Penalized Method for Streaming Feature Selection
The online feature selection with streaming features has become more and more important in recent years. In contrast to standard feature selection method, streaming feature selection method can select feature dynamically without exploring full feature ...
Xiao-Ting Wang, Xin-Ze Luan
doaj +1 more source
SATE: Providing Stable and Agile Adaptation in HTTP-Based Video Streaming
Online video streaming service, such as Youtube and Netflix, is emerging as a killer application that constitutes most IP traffic. Users want high-quality video streaming service; however, network bandwidth cannot keep up user's demand. In the HTTP-based
Wangyu Choi, Jongwon Yoon
doaj +1 more source
Gradient Decomposition Methods for Training Neural Networks With Non-ideal Synaptic Devices
While promising for high-capacity machine learning accelerators, memristor devices have non-idealities that prevent software-equivalent accuracies when used for online training.
Junyun Zhao +5 more
doaj +1 more source
Evaluating Stability in Massive Social Networks: Efficient Streaming Algorithms for Structural Balance [PDF]
Structural balance theory studies stability in networks. Given a n-vertex complete graph G = (V,E) whose edges are labeled positive or negative, the graph is considered balanced if every triangle either consists of three positive edges (three mutual ...
Ashvinkumar, Vikrant +4 more
core +1 more source
A Comparison of Trajectory Compression Algorithms Over AIS Data
Today’s industry is flooded with tracking data originating from vessels across the globe that transmit their position at frequent intervals. These voluminous and high-speed streams of data has led researchers to develop novel ways to compress them
Antonios Makris +3 more
doaj +1 more source
Learning from time-dependent streaming data with online stochastic algorithms
This paper addresses stochastic optimization in a streaming setting with time-dependent and biased gradient estimates. We analyze several first-order methods, including Stochastic Gradient Descent (SGD), mini-batch SGD, and time-varying mini-batch SGD, along with their Polyak-Ruppert averages.
Antoine Godichon-Baggioni +2 more
openaire +3 more sources
Semi-Streaming Algorithms for Weighted k-Disjoint Matchings [PDF]
We design and implement two single-pass semi-streaming algorithms for the maximum weight k-disjoint matching (k-DM) problem. Given an integer k, the k-DM problem is to find k pairwise edge-disjoint matchings such that the sum of the weights of the ...
Ferdous, S M +4 more
core +1 more source
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje +7 more
wiley +1 more source
Ball‐milling Cu‐based metallic glasses with ceria creates a unique nanostructure where metallic glass particles are wrapped by CeO2 nanoparticles. The intimate integration triggers copper state reorganization during reaction and aging, boosting CO oxidation and COPrOx activity.
Maahin Mirzay‐Shahim +17 more
wiley +1 more source

