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  1. Journal

    Hormones and Cancer

    Hormones and Cancer

    Volume 1 / 2010 - Volume 8 / 2017

  2. Journal

    International Journal of Machine Learning and Cybernetics
  3. No Access

    Article

    Role of 20-Hydroxyeicosatetraenoic Acid (20-HETE) in Androgen-Mediated Cell Viability in Prostate Cancer Cells

    20-Hydroxyeicosatetraenoic acid (20-HETE) is generated intracellularly through the ω-hydroxylation of arachidonic acid by the cytochrome P450 (in humans, CYP4A11 and CYP4F2). 20-HETE induces mitogenic response...

    Cecilia Colombero, Daniela Papademetrio, Paula Sacca in Hormones and Cancer (2017)

  4. No Access

    Article

    A novel decision making approach based on intuitionistic fuzzy soft sets

    Molodtsov’s soft set was initiated as a general emerging mathematical tool to deal with uncertain problems, which is free from the limitations of other traditional mathematical tool. It has been proven that de...

    Haiyan Zhao, Weimin Ma, Bingzhen Sun in International Journal of Machine Learning … (2017)

  5. No Access

    Article

    The mean square stability analysis of a stochastic dynamic model for electricity market

    The mean square stability pertaining to a stochastic electricity market model is analyzed in this paper. Considering the random nature of demand elasticity, the stochastic electricity market model under small ...

    Zhanhui Lu, Weijuan Wang, Quanxin Zhu in International Journal of Machine Learning … (2017)

  6. No Access

    Article

    Non-fragile H state feedback control for singular Markovian jump fuzzy systems with interval time-delay

    In this paper, the problem of non-fragile H state feedback control for singular Markovian jump fuzzy systems with time-varying delays is investigated. Based on the mode-dependent Lyapuno...

    Yuechao Ma, Menghua Chen in International Journal of Machine Learning and Cybernetics (2017)

  7. No Access

    Article

    A data reduction method in formal fuzzy contexts

    As a basic operation in data mining and knowledge discovery, data reduction can reduce the volume of the data and simplify the representation of knowledge. In this paper we propose a method of attribute reduct...

    Kewen Li, Ming-Wen Shao, Wei-Zhi Wu in International Journal of Machine Learning … (2017)

  8. No Access

    Article

    Enhancing relative ratio method for MCDM via attitudinal distance measures of interval-valued hesitant fuzzy sets

    This paper is devoted to develop an enhanced relative ratio (RR) method for tackling with multi-criteria decision making (MCDM) problem in interval-valued hesitant fuzzy setting. First, a hesitant fuzzy COWA o...

    Ding-Hong Peng, Tie-Dan Wang, Chang-Yuan Gao in International Journal of Machine Learning … (2017)

  9. No Access

    Article

    Alcohol Intake and Risk of Breast Cancer by Histologic Subtype and Estrogen Receptor Status Among Women Aged 55 to 74 Years

    Previous studies suggest that alcohol consumption and risk of breast cancer may differ by histologic subtype and hormone receptor status, though results are not entirely consistent. In this population-based ca...

    Michelle L. Baglia, Kathleen E. Malone, Mei-Tzu C. Tang in Hormones and Cancer (2017)

  10. No Access

    Article

    Position stabilisation and lag reduction with Gaussian processes in sensor fusion system for user performance improvement

    In this paper we present a novel Gaussian Process (GP) prior model-based sensor fusion approach to dealing with position uncertainty and lag in a system composed of an external position sensing device (Kinect)...

    Shimin Feng, Roderick Murray-Smith in International Journal of Machine Learning … (2017)

  11. No Access

    Article

    Tree based multi-category Laplacian TWSVM for content based image retrieval

    This paper attempts to combine Laplacian Twin Support Vector Machine (Lap-TWSVM) and Decision Tree Twin Support Vector Machine classifier to obtain an effective tree based classifier for semi-supervised multi-...

    Reshma Khemchandani, Aman Pal in International Journal of Machine Learning and Cybernetics (2017)

  12. No Access

    Article

    Critical parameter analysis of Vertical Hoeffding Tree for optimized performance using SAMOA

    Streaming classification of big data is a method under stream data mining that learns from continuous, ordered sequences of data streams coming from diversified sources using limited computing and storage capa...

    Bakshi Rohit Prasad, Sonali Agarwal in International Journal of Machine Learning … (2017)

  13. No Access

    Article

    Bayesian network structure training based on a game of learning automata

    Bayesian network (BN) is a probabilistic graphical model which describes the joint probability distribution over a set of random variables. Finding an optimal network structure based on an available training d...

    S. Gheisari, M. R. Meybodi, M. Dehghan in International Journal of Machine Learning … (2017)

  14. No Access

    Article

    New concepts of vague graphs

    The concept of vague graph was introduced by Ramakrishna (Int J Comput Cognit 7:51–58, 2009). Since the vague models give more precision, flexibility, and compatibility to the system as compared to the classical ...

    R. A. Borzooei, Hossein Rashmanlou in International Journal of Machine Learning … (2017)

  15. No Access

    Article

    A context-aware semantic modeling framework for efficient image retrieval

    In recent years, high-level image representation is gaining popularity in image classification and retrieval tasks. This paper proposes an efficient scheme known as semantic context model to derive high-level ...

    K. S. Arun, V. K. Govindan in International Journal of Machine Learning and Cybernetics (2017)

  16. No Access

    Article

    Robust adaptive nonsingular terminal sliding mode control of MEMS gyroscope using fuzzy-neural-network compensator

    To attenuate the effect of time-varying parameters, quadrature errors, and external disturbances and realize finite-time control, a robust adaptive nonsingular terminal sliding mode (NTSM) tracking control sch...

    Weifeng Yan, Shixi Hou, Yunmei Fang in International Journal of Machine Learning … (2017)

  17. No Access

    Article

    The improved learning rate for regularized regression with RKBSs

    The investigation on the performance of learning from samples of functions in Banach spaces is a new research field. A key theoretical problem we need to investigate is how the convergence rate is influenced b...

    Huanxiang Liu, Baohuai Sheng, Peixin Ye in International Journal of Machine Learning … (2017)

  18. No Access

    Article

    Panobinostat Enhances Growth Suppressive Effects of Progestin on Endometrial Carcinoma by Increasing Progesterone Receptor and Mitogen-Inducible Gene-6

    Although progestin has been used to treat endometrial hyperplasia and endometrial carcinoma (EC), its therapeutic efficacy is limited. In order to improve this, the underlining mechanisms of the effects of pro...

    Hirofumi Ando, Tsutomu Miyamoto, Hiroyasu Kashima, Shotaro Higuchi in Hormones and Cancer (2017)

  19. No Access

    Article

    Fuzzy soft subspace clustering method for gene co-expression network analysis

    Gene expression clustering methods for building gene co-expression networks suffer greatly from the biological complexity of cells. This paper proposes a fuzzy soft subspace clustering method for detecting ov...

    Qiang Wang, Guoliang Chen in International Journal of Machine Learning and Cybernetics (2017)

  20. No Access

    Article

    An ELM-based model with sparse-weighting strategy for sequential data imbalance problem

    In many practical engineering applications, online sequential data imbalance problems are universally found. Many traditional machine learning methods are hard to improve the classification accuracy effectivel...

    Wentao Mao, Jinwan Wang, Zhanao Xue in International Journal of Machine Learning … (2017)

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