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	Machine Learning Kluwer Academic Publishers         Options: Date Reviewed Title Author Publisher Published Date Descending Order Ascending Order     1-10 of 54 reviews Date Reviewed     Relational data factorization Paramonov S., Leeuwen M., Raedt L. Machine Learning 106(12): 1867-1904, 2017.  Type: Article General methods take advantage of developing frameworks for data mining and machine learning that can be specialized for efficiency according to the problem domain. This paper discusses a declarative modeling method as a form of relati... Feb 7 2019   Ultra-strong machine learning: comprehensibility of programs learned with ILP Muggleton S., Schmid U., Zeller C., Tamaddoni-Nezhad A., Besold T. Machine Learning 107(7): 1119-1140, 2018.  Type: Article Recognizing the fact that “most of modern machine learning can be viewed as consistent with Michie’s weak criterion,” the authors of this paper are motivated to work on Michie’s ultra-strong crit... Dec 31 2018   A scalable preference model for autonomous decision-making Peters M., Saar-Tsechansky M., Ketter W., Williamson S., Groot P., Heskes T. Machine Learning 107(6): 1039-1068, 2018.  Type: Article In some consumer markets, prices are determined by the limited availability of goods and customers choose from a small set of options. The outcome is often determined by simple tradeoffs between the most critical attributes.... Oct 12 2018   Learning safe multi-label prediction for weakly labeled data Wei T., Guo L., Li Y., Gao W. Machine Learning 107(4): 703-725, 2018.  Type: Article Many real-world applications involve learning in the presence of multiple labels. For example, in the case of images, a single image may be labeled sky, cloud, or even flower. To make matters more complicated, the dataset for training ... Sep 11 2018   Learning deep kernels in the space of dot product polynomials Donini M., Aiolli F. Machine Learning 106(9-10): 1245-1269, 2017.  Type: Article A very detailed and thorough description of a novel approach, this paper presents a well-motivated technical account.... May 16 2018   A Bayesian nonparametric model for multi-label learning Xuan J., Lu J., Zhang G., Xu R., Luo X. Machine Learning 106(11): 1787-1815, 2017.  Type: Article Existing generative models for multilabel learning require that the number of topics be fixed in advance. This paper proposes a Bayesian nonparametric model that does not have this requirement.... May 14 2018   Scalable computational techniques for centrality metrics on temporally detailed social network Gunturi V., Shekhar S., Joseph K., Carley K. Machine Learning 106(8): 1133-1169, 2017.  Type: Article To analyze social networks, where social interactions change over time, special graphs and methods are needed. In this paper, social networks are represented as temporally detailed (TD) networks; the aim is to compute centrality metric... Feb 15 2018   An evaluation of linear and non-linear models of expressive dynamics in classical piano and symphonic music Cancino-Chacón C., Gadermaier T., Widmer G., Grachten M. Machine Learning 106(6): 887-909, 2017.  Type: Article Along with an appreciation for the art of Western classical music, researchers are also passionate about the study of its expressive interpretation forms. They are interested in modeling the relationship between musical expression and ... Nov 6 2017   High-probability minimax probability machines Cousins S., Shawe-Taylor J. Machine Learning 106(6): 863-886, 2017.  Type: Article To address the challenges of minimizing the future misclassification rate of a predictor, Lanckriet et al. [1] proposed minimax probability machines (MPMs) based on the minimax approach to build binary classifiers, which minimize the u... Oct 18 2017   Context-based unsupervised ensemble learning and feature ranking Soltanmohammadi E., Naraghi-Pour M., van der Schaar M. Machine Learning 105(3): 459-485, 2016.  Type: Article An unsupervised ensemble learning and feature ranking method in which the combiner has no information about the expert’s performance, methods, and the data with which they operate is proposed in this paper. The method uses ba... Apr 20 2017       Display 510152550100 per column
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