Learning from the real data
A comparison of machine learning methods for classification using simulation with multiple real data examples from mental health studies
... machine learning algorithms are complex (the so-called black-box techniques) and often are not based on any underlying statistical model, working out the analytic distributional properties of performance estimates ...
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Multiple Instance Learning of Real Valued Data
... in real drug-discovery work, most data is labeled with real-valued affinity measurements obtained via laboratory ...only real data sets available as benchmarks are the Musk1 and Musk2 ...
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Stereo and ToF Data Fusion by Learning from Synthetic Data
... 8: Real world dataset used for the evaluation of the performance of the proposed ...evaluation from the confidence information: in this case, the task is more challenging since the CNN is trained on ...
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Learning Bayesian Networks from Correlated Data
... BNs from correlated data arising from clustered ...in data simulated from a hypothetical family-based study, in which the observations of members within the same family are related with ...
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Learning Word Clusters from Data Types
... 3.2 The input words There is abundant psycholinguistic evidence that semantic similarity between words is em- inently context{sensitive (Miller and Charles 1991). Moreover, in many language{processing tasks, word ...
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Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications
... Complex data pose new challenges for current research in data mining and knowledge discovery as they require new methods for processing, mining, and learning ...Traditional data analysis ...
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A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data
... the real-time skeleton estimation algorithms [34] that are robust to surrounding distractions as well as invariant to camera ...skeletal data for HAR opens up opportunities for addressing the lim- itations ...
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Learning from aggregated data
... healthcare data showed the relevance of our techniques in real world ...where data is often released as, for example, monthly or yearly ...our learning algorithm with the best possible linear ...
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Learning from Dependent Data
... machine learning heavily relied on theoretical analysis of learning ...the real world. The most common assumption made in statistical learning theory is the assumption of the independent and ...
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Learning from Big Data in
... Big Data Challenges The LSST Big Data Challenges 1. 1. Massive data stream: ~2 Massive data stream: ~2 Terabytes of image data Terabytes of image data per hour that must be per ...
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LEARNING FROM BIG DATA
... Using a Matlab implementation of our combination algorithms, all (batch) combination procedures take under twenty seconds to complete on a 2.5GHz Intel Core i5 with 16GB memory. 8.1.2. Real-world data. ...
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Learning classifiers from linked data
... 3. LEARNING CLASSIFIERS FROM RDF DATA WITH SUBCLASS HIERARCHIES As shown in Chapter 2, the massive size and distributed nature of LOD cloud present a challenging machine learning problem where ...
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Learning Valued Relations from Data
... of data objects has recently been investigated quite intensively in the machine learning ...many real-world applications often expressed in a graded man- ...for learning relations from ...
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Learning From Data - A Short Course
... of learning for infinite hypothesis sets, the only kind we use in ...different learning models, and hence is useful for comparing the generalization performance of these ...observation from practical ...
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Learning attributes of real-world objects by clustering multimodal sensory data
... students from UT Austin), provide us with object attribute labels via a graphical user in- terface as shown in Figure ...vary from person to person and it does not make sense to test it out with the ...
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Transfer of complex skill learning from virtual to real rowing
... input data were provided by the measured signals from the right robot S r and the left robot S l ...of data transfer for the scull ...simulator from the control ...the real-time rowing ...
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The modality effect in a mobile learning environment: Learning from spoken text and real objects
... all learning behavior of participants’ during the learning phase, such as watching the Tablet PC, observing plants, watching objects other than plants, was recorded by two video ...of learning ...
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Model-based learning from preference data
... sequential, from the most preferred downwards; in other cases pair comparisons are thought to be performed; or a complete ranking is assumed to exist so that expressions of preference correspond to this ...
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Learning a bayesian network from ordinal data
... of data: Customer Satisfaction data coming from a real survey of customer satisfaction and Polit- ical Action data borrowed from the literature (Barnes and Kaase ...satisfaction ...
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Learning from Imbalanced Crowdsourced Labeled Data
... 3.1.2 Real Dataset We collected a real-world im- balanced crowdsourced labeled dataset Emotion from our educational ...collected data samples in the Emotion dataset are 1-minute audio tracks ...
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