图 书 馆开课单位--加利福尼亚大学
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21All-Pairs Nearest Neighbor Search on Manycore Systems[所有成对的最近邻搜索在多核系统]
Lawrence Cayton(加利福尼亚大学) Top » Computer Science » Machine Learning » Instance-based Learning
热度：50
Lawrence Cayton(加利福尼亚大学) Top » Computer Science » Machine Learning » Instance-based Learning
热度：50
2223Link Mining[挖掘链接]
Lise Getoor(加利福尼亚大学) Statistical machine learning is in the midst of a "relational revolution". After many decades of focusing on independent and identically-dis...
热度：47
Lise Getoor(加利福尼亚大学) Statistical machine learning is in the midst of a "relational revolution". After many decades of focusing on independent and identically-dis...
热度：47
24Exponential Families in Feature Space - Part 6[特征空间中的指数族- 第6部分]
Vishwanathan S.V.N(加利福尼亚大学) In this introductory course we will discuss how log linear models can be extended to feature space. These log linear models have been studied by stati...
热度：55
Vishwanathan S.V.N(加利福尼亚大学) In this introductory course we will discuss how log linear models can be extended to feature space. These log linear models have been studied by stati...
热度：55
25Time Series Shapelets: A New Primitive for Data Mining[时间序列小单元：数据挖掘的新开始]
Lexiang Ye(加利福尼亚大学) Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly suggested that the simpl...
热度：131
Lexiang Ye(加利福尼亚大学) Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly suggested that the simpl...
热度：131
26Extracting Structural Information from Images of Spiral Galaxies[从螺旋星系图像中提取结构信息]
Wayne Hayes(加利福尼亚大学) We have created a method for the efficient and automatic extraction of structure from images of spiral galaxies. In particular, we can isolate ”...
热度：38
Wayne Hayes(加利福尼亚大学) We have created a method for the efficient and automatic extraction of structure from images of spiral galaxies. In particular, we can isolate ”...
热度：38
2728Learning and Charting Chemical Space with Strings and Graphs: Challenges and Opportunities for AI and Machine Learning[用字符串和图表学习图表化学空间：人工智能和机器学习的挑战和机遇]
Pierre Baldi(加利福尼亚大学) Informatics methods and computers have not yet become as pervasive in chemistry as they have in physics and biology. Drawing analogies from bioinforma...
热度：34
Pierre Baldi(加利福尼亚大学) Informatics methods and computers have not yet become as pervasive in chemistry as they have in physics and biology. Drawing analogies from bioinforma...
热度：34
29From Genomes to Personalized Medicine: Reverse Engineering Biological Systems[从基因组到个性化医学：逆向工程生物系统]
Pierre Baldi(加利福尼亚大学)
热度：44
Pierre Baldi(加利福尼亚大学)
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