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On-line Learning

Inverse Kinematics On-line Learning: a Kernel-Based Policy-Gradient approach

Inverse Kinematics On-line Learning: a Kernel-Based Policy-Gradient approach

... machine learning, “kernel methods” give a consistent framework for applying the perceptron algorithm to non-linear ...forcement learning, an analog of the perceptron delta-rule can be derived from the ...

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CAFE: an automatic and on-line learning system to guide freshmen towards the meeting of Higher Education requirements

CAFE: an automatic and on-line learning system to guide freshmen towards the meeting of Higher Education requirements

... on-line learning system, called “CAFE”, implemented in the context of the Computer Programming Introduction course addressed to first year ...expected learning outcomes, “ensuring that summative ...

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On-Line Learning of Lexical Items and Grammatical Constructions via Speech, Gaze and Action-Based Human-Robot Interaction

On-Line Learning of Lexical Items and Grammatical Constructions via Speech, Gaze and Action-Based Human-Robot Interaction

... language learning is ...developed learning methods that allow the hu- manoid robot iCub to robot can learn new lexical items by in- teraction with the human and consolidation of its autobiograph- ical ...

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Expert-based on-line learning and prediction in Content Delivery Networks

Expert-based on-line learning and prediction in Content Delivery Networks

... In this paper, we focus on the use of machine learning techniques in CDNs. The remainder of this paper is organized as follows. In this section, we present the context of this study and some related work. In ...

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Effects of line-blocking on the non-LTE Fe I spectral line formation

Effects of line-blocking on the non-LTE Fe I spectral line formation

... of line-blocking in  we proceeded by sampling metal line opacities for about 9000 wavelength points in the spectral region between 1000 Å and 20 000 Å and adding them to the standard back- ground ...

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Dictionary-based Learning in MR Fingerprinting: Statistical Learning versus Deep Learning

Dictionary-based Learning in MR Fingerprinting: Statistical Learning versus Deep Learning

... Synopsis In MR Fingerprinting, the exhaustive search in the dictionary may be bypassed by learning a mapping between fingerprints and parameter spaces. In general, the relationship between these spaces is ...

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Collab-Net on line: An on line platform for DSS research collaboration in EWG-DSS

Collab-Net on line: An on line platform for DSS research collaboration in EWG-DSS

... on line: An on line platform for DSS-research collaboration in EWG-DSS Recently, the scientific research collaboration has been extended to social network analysis area, which concerns in evaluating the ...

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Collab-Net on line: An on line platform for DSS research collaboration in EWG-DSS

Collab-Net on line: An on line platform for DSS research collaboration in EWG-DSS

... on line: An on line platform for DSS-research collaboration in EWG-DSS Recently, the scientific research collaboration has been extended to social network analysis area, which concerns in evaluating the ...

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Interactive Illustrative Line Styles and Line Style Transfer Functions for Flow Visualization

Interactive Illustrative Line Styles and Line Style Transfer Functions for Flow Visualization

... visualization line style. Specifically, we represent each line from the 3D dataset by a view-oriented line strip as done in many previous line- based rendering ...halo line band is ...

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Learning Analytics : terminologie du Learning Analytics.

Learning Analytics : terminologie du Learning Analytics.

... L’incorporation de terme « traces » se justifient par le fait que le terme trace n'est pas perçu par tout le monde de la même façon, dans le cadre des Learning Analytics, on prend en compte les traces au sens ...

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Characterizing N+-perfect line graphs

Characterizing N+-perfect line graphs

... coincide and that ASTAB ∗ (G) shall be the studied polyhedral relaxation P (G) of STAB(G) in (2). In particular, in this paper we have proved that every N + -perfect line graph is h-perfect. Then, combining these ...

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Data Prefetching via Off-line Learning

Data Prefetching via Off-line Learning

... Off-line Learning Wong Weng Fai Abstract—The widely acknowledged performance gap between processors and memory has been the subject of much ...off-line learning of Markovian ...offline ...

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Forecasting for dynamic line rating

Forecasting for dynamic line rating

... Generally, the discussion on whether DLR presents an economically feasible and rational solution focuses on two dimensions that mainly represent the viewpoints of different network stakeholders (utilities and consumers). ...

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Projective groups and line arrangements

Projective groups and line arrangements

... a line arrangement A in P 2 , its Milnor fiber F is on the one hand is a quasi-projective manifold, hence we may use mixed Hodge theory to study its cohomology jump loci; on the other hand, F is also a surface, ...

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MPLM -- MaTeLo Product Line Manager

MPLM -- MaTeLo Product Line Manager

... product line. The product line usage model covers all features of the product line and hence allows to effectively reuse the test artefacts ...

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Le PICC Line : intérêt pour le maintien à domicile

Le PICC Line : intérêt pour le maintien à domicile

... Lors de mon stage à l’hôpital de Beauvais, j’ai pu observer, dans différents services, l’utilisation de matériel médical identique pour des indications différentes. Dans le service d’hémato-oncologie, j’ai observé ...

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Pictorial analysis of line-drawings

Pictorial analysis of line-drawings

... of line-drawings This approach is closely related to cognitive studies such as the seminal work of Attneave for instance [ Att54 ...the line content in artworks has been rarely in- vestigated in computer ...

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On-line recognition of interval orders

On-line recognition of interval orders

... Unit´e de recherche INRIA Lorraine, Technˆopole de Nancy-Brabois, Campus scientifique, ` NANCY 615 rue de Jardin Botanique, BP 101, 54600 VILLERS LES Unit´e de recherche INRIA Rennes, IR[r] ...

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Synthetic pulsational line profile variations

Synthetic pulsational line profile variations

... Fig. 5 Discriminant value as function of possible mode identifica- tions, obtained using the moment method. Each panel includes the re- sults for spectral lines of the same ion, from up to down and left to right: SiIII, ...

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Transmission line fault locator

Transmission line fault locator

... L’accès à ce site Web et l’utilisation de son contenu sont assujettis aux conditions présentées dans le site LISEZ CES CONDITIONS ATTENTIVEMENT AVANT D’UTILISER CE SITE WEB. NRC Publicat[r] ...

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