Results 11 to 20 of about 1,303,110 (322)
Adaptive Neighborhood Metric Learning [PDF]
In this paper, we reveal that metric learning would suffer from serious inseparable problem if without informative sample mining. Since the inseparable samples are often mixed with hard samples, current informative sample mining strategies used to deal with inseparable problem may bring up some side-effects, such as instability of objective function ...
Song, Kun +4 more
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Adaptive Manifold Learning [PDF]
Manifold learning algorithms seek to find a low-dimensional parameterization of high-dimensional data. They heavily rely on the notion of what can be considered as local, how accurately the manifold can be approximated locally, and, last but not least, how the local structures can be patched together to produce the global parameterization.
Zhenyue, Zhang +2 more
openaire +2 more sources
Adaptively Rational Learning [PDF]
Research on adaptive rationality has focused principally on inference, judgment, and decision-making that lead to behaviors and actions. These processes typically require cognitive representations as input, and these representations must presumably be acquired via learning. Nonetheless, there has been little work on the nature of, and justification for,
Wellen, Sarah, Danks, David
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Adapting SME Learning Environments for Adaptivity [PDF]
There is a genuine demand for personalization and guidance in learning systems, as well as in general commercial learning systems for the WWW, and further, for the new, emerging Semantic Web. Some isolated attempts towards adaptation are being made without fully responding to this demand. However, systematic frameworks for adaptive content and behavior
Cristea, A.I. +3 more
openaire +2 more sources
Learning to Adapt: A Meta-learning Approach for Speaker Adaptation [PDF]
Interspeech ...
Klejch, Ondrej +2 more
openaire +4 more sources
A recent paper 1 has highlighted the use of randomised controlled trials (RCTs) as a basis for creating and implementing policies by the United Kingdom government. However, RCTs are potentially difficult, costly, and complex. Therefore, this paper explores what public policy-makers can learn from medicine’s extensive experience with RCTs so that public
Teoh, Penelope J., Camm, Christian F.
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Predicting biases in very highly educated samples: Numeracy and metacognition
We investigated the relations between numeracy and superior judgment and decision making in two large community outreach studies in Holland (n=5408). In these very highly educated samples (e.g., 30–50% held graduate degrees), the Berlin Numeracy Test was
Saima Ghazal +2 more
doaj +1 more source
Analyzing Trade in Continuous Intra-Day Electricity Market: An Agent-Based Modeling Approach
In recent years, the vast penetration of renewable energy sources has introduced a large degree of uncertainty into the power system, thus leading to increased trading activity in the continuous intra-day electricity market.
Priyanka Shinde +4 more
doaj +1 more source
Learning Boolean Halfspaces with Small Weights from Membership Queries [PDF]
We consider the problem of proper learning a Boolean Halfspace with integer weights $\{0,1,\ldots,t\}$ from membership queries only. The best known algorithm for this problem is an adaptive algorithm that asks $n^{O(t^5)}$ membership queries where the ...
Abasi, Hasan +2 more
core +1 more source
International students face unique challenges in pursuing higher education in a foreign country. To address these challenges and enhance their academic experience, higher education institutions are increasingly exploring the use of artificial ...
Ting Wang +6 more
doaj +1 more source

