Manipulating the learning and transfer domains
Optimizing lexical learning by manipulating phonological training
... perform above chance level on the lexical task without prior exposure to Mandarin tone stimuli or prior sound-to-category training. Results from this study show that regardless of what training paradigm a participant ...
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Predicting and Manipulating the Difficulty of Text-Completion Exercises for Language Learning
... Narrowing the focus In contrast to the line of research described above, the opposite di- rection also promises interesting insights. In the thesis, we have seen that the background of the learner plays an important ...
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Manipulating and Complementing Content Teaching to Maximize Second Language Learning
... I hope to show, by way of examples from French immersion teaching, some ways in which typical content teaching is inadequate as a second language learning environment.. And again, by mea[r] ...
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Manipulating attentional load in sequence learning through random number generation
... significant learning and transfer block effects in all experiments that confirm that participants acquire knowledge about the sequential regularities of the ...sequence learning was systematically ...
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Transfer Learning for Reinforcement Learning Domains: A Survey
... consider learning in a hierarchical Bayesian RL ...tasks. Learning on subsequent tasks shows a clear performance improvement in total reward, and some improvement in ...machine learning settings. ...
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Simultaneous Deep Transfer Across Domains and Tasks
... 5.2. Soft labels for task transfer We now examine the effect of soft labels in transfer- ring information between categories. We consider the Amazon→Webcam shift from the semi-supervised adapta- tion ...
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Deep Learning in Unconventional Domains
... versus learning an embedding, what embedding size to use, and how to apply dropout regularization (whether to drop vector elements or whole ...Unlike learning embeddings for high-cardinality categorical ...
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Manipulating Microdroplets in Alternating Electric Fields: Dispersion, Coalescence, Bridging, and Fluid Transfer.
... fluid transfer and precise dispensing of bio and chemical reagents from freely suspended droplets in microfluidic devices based on the lab-on-a-chip and lab-in-a-droplet ...
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Investigating the Transfer of Metacognition to Domains Distinct From Mathematics
... ACKNOWLEDGEMENTS I would not be where I am today were it not for all the educators who contributed to my development throughout my life. For this doctoral journey, in particular, there are many whom I acknowledge. While ...
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Parameter Transfer across Domains for Word Sense Disambiguation
... 6 Conclusion and Outlook In this paper, we tested the hypothesis that meta- heuristics are good approximation algorithms to solve the WSD optimization problem. We com- pared D-Bees to SA and found that D-Bees per- forms ...
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Linear Models and Deep Learning: Learning in Sequential Domains
... simplifying learning in sequential domains A serious problem that afflicts the existent approaches for sequential data is their difficulties in learning over long sequences: feature-based ap- proaches ...
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Learning to see across domains and modalities
... deep learning models for domain adaptation which learn domain-invariant representations by introducing appropriate loss terms, by casting the problem within an adversarial learning framework or by embedding ...
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Reservoir Computing for Learning in Structured Domains
... consist in a hidden reservoir layer of non-linear recursive units, responsible for the encod- ing process, plus a readout layer of linear feed-forward units. The reservoir is initialized to implement a contractive state ...
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Learning Features Across Tasks and Domains
... across domains using neural networks? Although many methods have been proposed in recent years, we can identify two main ...feature learning, while the second one is referred to as domain ...different ...
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Inverse Reinforcement Learning in Relational Domains
... The main claim of relational learning is the ability of trans- ferring among domain sizes. Fig. 3 shows the performance while varying the number of blocks between training and test- ing. For the stack reward, the ...
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Planning, Acting, and Learning in Incomplete Domains
... plete domains (notable work in Markov decision processes (Nilim and El Ghaoui 2005; Choudhary et ...reinforcement learning (Sutton and Barto 1998) has explored similar ...
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Learning action strategies for planning domains
... some domains as is the case for the blocks world we actually have a guarantee that it does not hold since the problem is NP-Complete ...the learning algorithm must be able to tolerate such ...the ...
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Active Learning with Transfer Learning
... negative transfer, we propose a framework, namely Active Vector Rotation (AVR), which takes advantage of both active learning and transfer learning ...unsupervised learning techniques ...
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Assessment of Learning Domains to Improve Student’s Learning in Higher Education
... other domains. As mentioned earlier, designing of COs based on POs and learning domains, the cognitive domain of a particular course can be easily measured through fi nal ...
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Learning From Geometry In Learning For Tactical And Strategic Decision Domains
... each turn t, fitness f t is awarded based on the current board state according to the equation: f t = 100 + 2m s + 3k s + 2(12 − m o ) + 3(12 − k o ), (4.1) where m s and m o are the number of regular pieces possessed by ...
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