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  1. No Access

    Article

    Sparse Auto-encoder with Smoothed \(l_1\) Regularization

    Improving the performance on data representation of an auto-encoder could help to obtain a satisfying deep network. One of the strategies to enhance the performance is to incorporate sparsity into an auto-enco...

    Li Zhang, Ya** Lu, Bangjun Wang, Fanzhang Li, Zhao Zhang in Neural Processing Letters (2018)

  2. No Access

    Article

    A self-adaptive preference model based on dynamic feature analysis for interactive portfolio optimization

    In financial markets, there are various assets to invest in. Recognizing an investor’s preferences is key to selecting a combination of assets that best serves his or her needs. Considering the mean–variance m...

    Shicheng Hu, Fang Li, Yang Liu, Song Wang in International Journal of Machine Learning … (2020)

  3. No Access

    Article

    One-step multi-view spectral clustering by learning common and specific nonnegative embeddings

    Multi-view spectral clustering is a hot research area which has attracted increasing attention. Most existing multi-view spectral clustering methods utilize a two-step strategy. The first step obtains a common...

    Hongwei Yin, Wenjun Hu, Fanzhang Li… in International Journal of Machine Learning … (2021)

  4. No Access

    Article

    Integrate new cross association fuzzy logical relationships to multi-factor high-order forecasting model of time series

    In any multi-factor high-order fuzzy logical relationship (FLR) based forecasting model, a FLR reflects the influence of both the main factor (the forecasted factor) and all the influence factors on the main f...

    Fang Li, Fusheng Yu, **ao Wang, **yang Yang… in International Journal of Machine Learning … (2021)

  5. No Access

    Article

    Sentence pair modeling based on semantic feature map for human interaction with IoT devices

    The rapid development of Internet of Things (IoT) brings an urgent requirement on intelligent human–device interactions using natural language, which are critical for facilitating people to use IoT devices. Th...

    Rui Yu, Wenpeng Lu, Huimin Lu, Shou** Wang… in International Journal of Machine Learning … (2021)

  6. No Access

    Article

    On rough set based fuzzy clustering for graph data

    Data clustering refers to partition the original data set into some subsets such that every vertex belongs to one or more subsets at the same time. For graph data that composed by attribute information of vert...

    Wenqian He, Shihu Liu, Weihua Xu, Fusheng Yu… in International Journal of Machine Learning … (2022)

  7. No Access

    Article

    Deep feature network with multi-scale fusion for highly congested crowd counting

    In this paper, we propose a deep feature network with multi-scale fusion (DFNet) for addressing the problem of crowd counting in highly congested noisy scenes. DFNet contains three modules: feature encoder, fe...

    Leilei Yan, Li Zhang, **aohan Zheng… in International Journal of Machine Learning … (2024)

  8. Article

    Open Access

    A Feature Selection Method Based on Feature-Label Correlation Information and Self-Adaptive MOPSO

    Feature selection can be seen as a multi-objective task, where the goal is to select a subset of features that exhibit minimal correlation among themselves while maximizing their correlation with the target la...

    Fei Han, Fanyu Li, Qinghua Ling, Henry Han, Tianyi Lu… in Neural Processing Letters (2024)

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    Article

    A novel forecasting model based on the raised ordered pair fuzzy time series and fuzzy implication

    In fuzzy time series (FTS) based forecasting models, FTS is utilized to depict the characteristic of time series. In the constructed FTS of the existing models, each moment consists of a fuzzy set to reflect t...

    Fang Li, **yang Yang in International Journal of Machine Learning and Cybernetics (2024)