Results 291 to 300 of about 12,805,287 (334)
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„Self-confidence“ in der Tiermedizin
2013Fragestellung: Im Rahmen der Etablierung und Eröffnung des ersten veterinärmedizinischen Skills Lab in Deutschland an der Stiftung Tierärztlichen Hochschule Hannover (TiHo) wurde eine „self-confidence“ longitudinale Befragung aller Studierenden initiiert. Ziel dieser Befragung[for full text, please go to the a.m. URL]
Dilly, M, Ehlers, JP
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Nurse Education Today, 2019
BACKGROUND Research on simulation in nursing education has demonstrated the positive impact active, experiential learning has on student satisfaction, self-confidence, and knowledge.
Elizabeth K. Herron +3 more
semanticscholar +1 more source
BACKGROUND Research on simulation in nursing education has demonstrated the positive impact active, experiential learning has on student satisfaction, self-confidence, and knowledge.
Elizabeth K. Herron +3 more
semanticscholar +1 more source
Self Confidence: Intrapersonal Strategies
2000This paper analyzes the self-identification process and its role in motivation. We build a model of self-confidence where people have imperfect knowledge about their ability, which in most tasks is a complement to effort in determining performance. Higher self-confidence thus enhances motivation, and this creates incentives for the manipulation of self-
Bénabou, Roland, Tirole, Jean
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Self-Confidence and Sports Performance
Exercise and Sport Sciences Reviews, 1988Self-confidence (SC) is one of the most cited factors thought to affect athletic performance. SC is said to playa critical role in athletes 'success; in contrast, lack ofSC seems to be closely associated with athletic failure. Thus, confidence is an importantfactor that distinguishes successful athletes from unsuccessful ones in terms of both their ...
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arXiv.org
Large Language Models (LLMs) have shown great potential in reasoning tasks through test-time scaling methods like self-consistency with majority voting. However, this approach often leads to diminishing returns in accuracy and high computational overhead.
Yichao Fu +3 more
semanticscholar +1 more source
Large Language Models (LLMs) have shown great potential in reasoning tasks through test-time scaling methods like self-consistency with majority voting. However, this approach often leads to diminishing returns in accuracy and high computational overhead.
Yichao Fu +3 more
semanticscholar +1 more source
1996
Abstract Most of us understand how a married person might come to recognize that she and her husband have grown apart, or not grown together, despite their good intentions and the seriousness with which they took their vows. And we understand how the situation might be experienced as sufficiently intolerable-for any variety of reasons ...
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Abstract Most of us understand how a married person might come to recognize that she and her husband have grown apart, or not grown together, despite their good intentions and the seriousness with which they took their vows. And we understand how the situation might be experienced as sufficiently intolerable-for any variety of reasons ...
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Scalable Best-of-N Selection for Large Language Models via Self-Certainty
Neural Information Processing SystemsBest-of-N selection is a key technique for improving the reasoning performance of Large Language Models (LLMs) through increased test-time computation.
Zhewei Kang, Xuandong Zhao, D. Song
semanticscholar +1 more source
Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning
Nature Machine Intelligence, 2023Zhong Cao +5 more
semanticscholar +1 more source
2018
Ginny, the mother of one of my daughter’s friends—whom I am also friendly with—approached me a few years ago to talk about my career. She was fascinated that I was working at the university, still working with a fee-only practice, and involved in several other side projects.
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Ginny, the mother of one of my daughter’s friends—whom I am also friendly with—approached me a few years ago to talk about my career. She was fascinated that I was working at the university, still working with a fee-only practice, and involved in several other side projects.
openaire +1 more source

