CAREER: Advancing the Theory and Practice of Meta-Learning with Applications in Physics
CAREER: Advancing the Theory and Practice of Meta-Learning with Applications in Physics
批准号:
0448542
负责人:
Ricardo Vilalta
金额:
$50.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-01-15 至 2010-12-31
中文摘要
本项目关注元学习领域,通过调查学习机制与适用这些机制的任务和领域之间的关系。这个项目的一个重要活动是提出有效的数据结构和元特征,以表征示例分布。我们计划扩展基于模型和信息论的特征,并利用多变量密度估计技术来生成示例分布的简明映射。这个项目的结果将用于元学习助理的设计和建造,它将能够为模型选择和模型排名提供自动和系统的用户指导。该项目是多学科的,特别强调物理学和天文学。该项目的主要应用领域是根据地理地貌特征对火星景观进行分类。该项目的一个主要目标是将旨在建立休斯顿大学模式分类和机器学习实验室的研究和教育策略结合起来。这个实验室将被用来分析、学习和使用真实的科学数据进行预测。它还将用于帮助当地青年,特别是妇女和少数群体,对科学有深刻的认识。通过在高中生和本科生中建立科学俱乐部和学习社区,该项目努力在培养年轻学生选择科学或技术道路作为其职业生涯的兴趣方面产生强烈的影响。
英文摘要
This project focuses on the field of meta-learning by investigating the relation between learning mechanisms and the tasks and domains where these mechanisms are applicable. An important activity of this project is to propose effective data structures and meta-features that characterize example distributions. We plan to extend model-based and information-theoretic characterizations, and to exploit multivariate density estimation techniques to generate a concise mapping of an example distribution. Results from this project will be used in the design and construction of meta-learning assistants that will be able to provide automatic and systematic user guidance for model selection and model ranking.This project is multidisciplinary in nature, with a particular emphasis on physics and astronomy. The principal area of application lies in the classification of Mars landscapes from geo-morphological features.A major goal of this project is to combine research and educational strategies aimed at the establishment of a Pattern Classification and Machine Learning Laboratory at the University of Houston. This laboratory will be used to analyze, learn, and perform predictions using real scientific data. It will also be used to help local youth, especially women and minorities, acquire a deep appreciation for science. Through the formation of science clubs and learning communities among high school and undergraduate students, this project strives to have a strong impact in fostering interest among young students in choosing scientific or technological paths as their professional career.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
III-CXT-Small: Collaborative Research: Automatic Geomorphic Mapping and Analysis of Land Surfaces Using Pattern Recognition
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批准号:0812372
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项目类别:Standard Grant
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资助金额:$15.86万
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财政年份:2008
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负责人:Ricardo Vilalta
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依托单位:
Collaborative Research: A Statistical Learning Tool for the Analysis and Characterization of Mars Topography
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批准号:0431130
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项目类别:Standard Grant
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资助金额:$0.0万
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财政年份:2004
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负责人:Ricardo Vilalta
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依托单位:
海外基金