Tree-structured multilayer neural network for classification
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04058-3
Abstract: In traditional neural trees (NTs), each internal node is designed as a neural network (NN), such as single- or two-layer neural networks, to determine which branch should be followed for an input sample. Because each… read more here.
Keywords: classification; network; structured multilayer; multilayer neural ... See more keywords
Preparation of tree-structured ZnO films for solar cells application
Sign Up to like & getrecommendations! Published in 2021 at "Materials Letters"
DOI: 10.1016/j.matlet.2021.130782
Abstract: Abstract In this work, we present the fabrication of tree-structured-based ZnO films by applying the hydrothermal method. For that reason, ZnO nanowires (NWs) with extended lengths were initially deposited on transparent conductive glass substrates, while… read more here.
Keywords: solar cells; zno films; zno branches; tree structured ... See more keywords
Tree-Structured Dilated Convolutional Networks for Image Compressed Sensing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3206016
Abstract: To better recover a sparse image signal carrying redundant information from many fewer measurements than the Nyquist-Shannon sampling theorem suggested, convolutional neural networks (CNNs) can be used to emulate a compressed sensing (CS) process. However,… read more here.
Keywords: dilated convolutional; convolutional networks; compressed sensing; tree structured ... See more keywords
Tree-Structured Polyhedral Invariant Set Calculations
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2019.2945721
Abstract: This letter provides a description of how hierarchical dependencies between inequalities can be exploited in order to efficiently calculate polyhedral approximations of maximal robust positive invariant sets using geometrically motivated methods. Due to the hierarchical… read more here.
Keywords: structured polyhedral; polyhedral invariant; invariant set; set calculations ... See more keywords
Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3137310
Abstract: Although reinforcement learning (RL) techniques are regarded as promising solutions for interactive recommender systems (IRS), such solutions still face three main challenges, namely, i) time inefficiency when handling large discrete action space in IRS, ii)… read more here.
Keywords: reinforcement learning; recommendation; cold start; tree ... See more keywords
Generative Kernels for Tree-Structured Data
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2017.2785292
Abstract: This paper presents a family of methods for the design of adaptive kernels for tree-structured data that exploits the summarization properties of hidden states of hidden Markov models for trees. We introduce a compact and… read more here.
Keywords: generative kernels; topology; kernels tree; structured data ... See more keywords
Tree2Vector: Learning a Vectorial Representation for Tree-Structured Data
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2797060
Abstract: The tree structure is one of the most powerful structures for data organization. An efficient learning framework for transforming tree-structured data into vectorial representations is presented. First, in attempting to uncover the global discriminative information… read more here.
Keywords: vector; vectorial representation; structured data; tree structured ... See more keywords
Tree-Structured Models for Efficient Multi-Cue Scene Labeling
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2016.2592911
Abstract: We propose a novel approach to semantic scene labeling in urban scenarios, which aims to combine excellent recognition performance with highest levels of computational efficiency. To that end, we exploit efficient tree-structured models on two… read more here.
Keywords: structured models; tree; multi cue; scene labeling ... See more keywords
Learning of Tree-Structured Gaussian Graphical Models on Distributed Data Under Communication Constraints
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2018.2876325
Abstract: In this paper, learning of tree-structured Gaussian graphical models from distributed data is addressed. In our model, samples are stored in a set of distributed machines where each machine has access to only a subset… read more here.
Keywords: graphical models; communication; learning tree; structured gaussian ... See more keywords