Learning and adaptation
Learning and adaptation in physical agents
... control. Learning can be restricted to OMs that include feedback based interaction with the environment, for instance path following of the law mower, its approach and connection to the recharging point, or the ...
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Behavioral Aspects of Organizational Learning and Adaptation
... following learning induced stimulus recognition, of how much energy is required for specific memory related gene expression relative to its temporal ...precedes adaptation, yet as well, fitness is not ...
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Innovative Organizations: Structure, Learning and Adaptation
... The dual search for stability and change constitutes a central paradox in all forms of organizing and poses a major challenge for firms operating in today’s business environment (Farjoun, 2010). In the past, many ...
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Learning and adaptation in brain machine interfaces
... “intentional” beta that occurs within a narrow behavioral context. For example, motor command adjustment preparatory-beta (Torrecillos et al., 2015) and tonic-hold beta (Baker et al., 1997) may be more intentional ...
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Online Methods for Multi Domain Learning and Adaptation
... 8 Learning in Many Domains So far we have considered settings with a small number of similar domains. While this is typical of multi-task problems, real world settings present many domains which do not all share ...
9
CiteSeerX — Learning And Adaptation In Multi-Robot Teams
... the task without ommuni
ation. The result is that the robots together learn to adapt their behavior toward more eÆ
ient mission ompletion by learning to represent and navigate around their environment and to ...
9
Perceptual learning reconfigures the effects of visual adaptation
... visual adaptation and perceptual ...between learning and adaptation, we examined in humans the perceptual consequences of learning a fine discrimination task while adapting the neurons that ...
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Towards Orientation Learning and Adaptation in Cartesian Space
... Orientation Learning and Adaptation in Cartesian Space Yanlong Huang, Fares ...While learning Cartesian positions suffices for many applications, the end- effector orientation is required in many ...
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Online Methods for Multi-Domain Learning and Adaptation
... We seek to learn domain specific parameters guided by shared parameters. Dekel et al. (2006) followed this approach for an online multi-task algo- rithm, although they did not have shared parameters and assumed that a ...
9
Pedagogical habitus engagement : teacher learning and adaptation in a professional learning community
... pedagogical adaptation, I therefore suggest that the PLC provides a platform where teachers, through a process of awareness, are enabled to interrogate the educational structures that have hitherto structured ...
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Adaptation, Learning, and Optimization
... of adaptation, learning and optimization are becoming increasingly essential and ...machine learning approaches while learning and optimization are two primary means to effect ...
14
Localization and Adaptation in Online Learning
... and Adaptation in Online Learning Abstract We introduce a formalism of localization for online learning problems, which, similarly to statistical learning theory, can be used to obtain fast ...
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Biased Representation Learning for Domain Adaptation
... Representation learning is a promising tech- nique for discovering features that allow su- pervised classifiers to generalize from a source domain dataset to arbitrary new ...domain adaptation tasks show ...
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Domain Adaptation with Structural Correspondence Learning
... Discriminative learning methods are widely used in natural language process- ...correspondence learning to automatically induce correspondences among features from different ...
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Robustness, Adaptation, and Learning in Optimal Control
... Abstract Recent technological advances have opened the door to a wide variety of dynamic control applications, which are enabled by increasing computational power in ever smaller devices. These advances are backed by ...
141
Domain Adaptation meets Active Learning
... domain adaptation setting (Finkel & Manning, 2009; Daum´e III, 2007) having a large amount of labeled data from a source domain, a large amount of unlabeled data from a target domain, and additionally a small bud- ...
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Robust Adaptation and Learning Over Networks
... Robust adaptation strategies are devised to solve typical network inference tasks such as estimation and detection in a decentralized manner in the presence of impulsive ...of learning it on-the-fly and ...
154
PAC-Bayesian Learning and Domain Adaptation
... no adaptation, the semi-supervised Transductive- SVM (TSVM) [7], the iterative DA algorithms DASVM [8] and the non-iterative version of DASF [9] based on the bound ...
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Adaptation for Regularization Operators in Learning Theory
... consider learning algorithms induced by regularization methods in the regression ...prove adaptation of the rate of convergence of the estimators to the minimax rate induced by the ”effective dimension” of ...
21
Domain Adaptation meets Active Learning
... Active learning in a domain adaptation setting has received little attention so ...active learning for word sense disambiguation in a domain adaptation ...transfer learning with active ...
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