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相关概念视频

Associative Learning01:27

Associative Learning

412
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
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Observational Learning01:12

Observational Learning

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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
188
Signal Sequences and Sorting Receptors01:41

Signal Sequences and Sorting Receptors

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Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
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Reinforcement01:23

Reinforcement

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Positive and negative reinforcement are key concepts in operant conditioning, a learning process where the consequences of a behavior affect the likelihood of that behavior being repeated.
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
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Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
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Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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相关实验视频

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多个序列对齐基于深度强化学习与自我注意力和位置编码.

Yuhang Liu1, Hao Yuan1, Qiang Zhang1

  • 1School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, China.

Bioinformatics (Oxford, England)
|October 19, 2023
PubMed
概括

本研究引入了一种新的深度强化学习方法,用于多重序列对齐 (MSA),通过结合位置编码和自我注意来提高准确性. 该方法改进了现有的方法来解决这个复杂的生物信息学问题.

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科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 机器学习 机器学习

背景情况:

  • 多个序列对齐 (MSA) 对于序列分析至关重要,但由于其NP完全性质,仍然具有挑战性.
  • 现有的MSA方法在准确性和可靠性方面存在局限性.

研究的目的:

  • 开发一种更准确,更可靠的多次序对齐方法.
  • 为MSA利用深度强化学习和自然语言处理技术.

主要方法:

  • 提出了一个深度强化学习框架,包括MSA的位置编码和自我注意力.
  • 使用位置编码来保存核酸位置信息.
  • 使用自我注意力来提取关键序列特征.
  • 设计了一个新的强化学习环境,用于逐渐对准柱子.

主要成果:

  • 拟议的方法显著提高了MSA的准确性.
  • 在基准数据集上与最先进的方法相比,实现了更高的性能.
  • 使用对和和列分数的有效性得到证明.

结论:

  • 新的深度强化学习方法为准确的多重序列对齐提供了一个有希望的解决方案.
  • 整合NLP技术,如自我注意力,促进了MSA方法的发展.
  • 开源实现有助于进一步的研究和应用.