Statistical Learning
Statistical learning approach for wind resource assessment
... Wind resource assessment is fundamental when selecting a site for wind energy projects. Wind is influenced by several environmental factors and understanding its spatial variability is key in determining the economic ...
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Statistical learning approaches for discriminant features selection
... Supervised statistical learning covers important mod- els like Support Vector Machines (SVM) and Linear Dis- criminant Analysis ...important statistical changes be- tween the sample groups ...
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A single paradigm for implicit and statistical learning
... and statistical learning approaches to language research, not only in the theory, but also in the methods used and the types of language structures assessed in these ...Implicit learning studies have ...
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Statistical Learning Theory as a Framework for the Philosophy of. Induction
... in statistical learning theory is the pattern recognition problem: “How can data be used to find good rules for classifying new cases on the basis of the values of certain features of those cases?” As we ...
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Predicting Credit Ratings with Statistical Learning Methods
... supervised statistical learning methods can sig- nificantly improve the prediction ...two-stage statistical learning method to improve the prediction accuracy of credit score ...stage-one ...
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Some contributions to high dimensional statistical learning
... Statistical learning plays a key role in many areas of science, finance and ...of statistical learning research is to automatically learn to recognize complex patterns and make intelligent ...
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Neural Entrainment Indexes Statistical Learning in Children
... of statistical learning in children, especially as it relates to the use of online and implicit measures of ...on statistical learning tasks ...of statistical learning in ...
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The Power of Infant Statistical Learning and Correlated Cues on Visual Learning
... use statistical aspects of speech to facilitate ...infant statistical learning abilities, Saffran, Aslin, and Newport (1996) created a miniature language based on a set of rules, this is known as an ...
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A single paradigm for implicit and statistical learning
... affect statistical learning – during the process, if not the endpoint, of acquisition of the ...accurate learning of mappings between the language and objects and actions in the ...investigated ...
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Order in the Statistical Learning of Phonotactics
... of statistical learning research is that learners attend to and learn the frequencies of repeating or co-occurring elements in the ...to statistical learning, yet the effect of order on ...
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Robust Control Methods for On Line Statistical Learning
... networks learning schemes with statistical robustness ...the statistical robustness field has not found a wide ground of applications outside statistics, given the fact that more and more applications ...
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Statistical learning as a window into developmental disabilities
... Statistical learning studies in children with IDDs One aspect of language acquisition that has been of par- ticular interest in this regard is statistical learning, a form of implicit ...
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How Symbolic Learning Can Help Statistical Learning (and vice versa)
... We applied k-RI for different values of k (k = 0, k = 1, k = 2) on POS tags sequences matching NP chunks in the corpus of NP chunks only. This task is the one for which GI is the most appro- priate. It is also possible ...
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Workshop on current challenges in statistical learning (11w5051)
... Feature selection is a fundamental tool for data analysis. One focus of recent research has been centered on feature selection in high-dimensional situations, to respond to the pressing need to process large amounts of ...
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Statistical Learning for Structural Patterns with Trees
... In Chapter 2, we provide a side-by-side comparison of GL and LOG in HSM in terms of their statistical properties and computational efficiency. We call spe- cial attention to GL’s more aggressive shrinkage of ...
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Online and Statistical Learning in Networks
... years learning, prediction and identification have become a main topic of interest in science and ...some statistical model, where in the latter the leaner can take advantage of statistical ...
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Model and Algorithm Selection in Statistical Learning and Optimization.
... The paper also contains a second part where the automatic construction of kernels is attempted by genetic programming (Koza, 1992). This line of research is motivated by published articles that claim to have shown that ...
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Exploring the Process of Statistical Language Learning
... the statistical language learning task was generally meager, with scores only marginally above chance for the DLD ...that statistical learning across both the verbal and visuospatial task ...
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Fast Rates in Statistical and Online Learning
... standard statistical learning problems of classification and re- gression, we have Z = X × Y for some ‘feature’ or ‘covariate’ space X and F is a set of functions from X to ...
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Active Learning for Multilingual Statistical Machine Translation
... Active learning is framed as an iterative learn- ing ...active learning: we assume we are given a small amount of parallel text and a large amount of monolingual source language text; us- ing these ...
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