图 书 馆开课单位--俄亥俄州立大学
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11Lunch debate 24.5.2005[午餐辩论2005.5.24]
Robert Schapire;Yann LeCun;Mikhail Belkin;John Langford;Yoram Singer(俄亥俄州立大学)
热度：27
Robert Schapire;Yann LeCun;Mikhail Belkin;John Langford;Yoram Singer(俄亥俄州立大学)
热度：27
12Deciphering the Face[破译的脸]
Martinez Aleix M(俄亥俄州立大学) Much progress has been made to understand human cognition. Yet, little is know about face perception. Facial expressions of emotions is a clear exampl...
热度：56
Martinez Aleix M(俄亥俄州立大学) Much progress has been made to understand human cognition. Yet, little is know about face perception. Facial expressions of emotions is a clear exampl...
热度：56
13Past, Present, and Future Directions in Foundations of Mathematics[数学基础的过去、现在和未来方向]
Harvey Friedman(俄亥俄州立大学) 数学基础的过去、现在和未来方向
热度：35
Harvey Friedman(俄亥俄州立大学) 数学基础的过去、现在和未来方向
热度：35
14A Bahadur Type Representation of the Linear Support Vector Machine and its Relative Efficiency[线性支持向量机的Bahadur类型表示及其相对效率]
Yoonkyung Lee(俄亥俄州立大学) The support vector machine has been used successfully in a variety of applications. Also on the theoretical front, its statistical properties includin...
热度：55
Yoonkyung Lee(俄亥俄州立大学) The support vector machine has been used successfully in a variety of applications. Also on the theoretical front, its statistical properties includin...
热度：55
15Graph methods and geometry of data[图表方法和数据几何]
Mikhail Belkin(俄亥俄州立大学) In recent years graph-based methods have seen success in different machine learning applications, including clustering, dimensionality reduction and s...
热度：51
Mikhail Belkin(俄亥俄州立大学) In recent years graph-based methods have seen success in different machine learning applications, including clustering, dimensionality reduction and s...
热度：51
16Cocktail Party Problem as Binary Classification[作为二元分类的言语隔离问题]
DeLiang Wang(俄亥俄州立大学) Speech segregation, or the cocktail party problem, has proven to be extremely challenging. Part of the challenge stems from the lack of a carefully an...
热度：58
DeLiang Wang(俄亥俄州立大学) Speech segregation, or the cocktail party problem, has proven to be extremely challenging. Part of the challenge stems from the lack of a carefully an...
热度：58
17Introduction to the Panel [数据库研究概论]
Srinivasan Parthasarathy(俄亥俄州立大学) Since the 1989 workshop on knowledge discovery in databases, the field has seen sustained growth and interest and has attained significant maturity. T...
热度：42
Srinivasan Parthasarathy(俄亥俄州立大学) Since the 1989 workshop on knowledge discovery in databases, the field has seen sustained growth and interest and has attained significant maturity. T...
热度：42
18The Mental Representation of Music: A Neural Darwinist Perspective[音乐的心理表征：一种神经达尔文主义的视角]
David Huron(俄亥俄州立大学) In this presentation, I review the perceptual research related to auditory representation for music. The research suggests that multiple representatio...
热度：43
David Huron(俄亥俄州立大学) In this presentation, I review the perceptual research related to auditory representation for music. The research suggests that multiple representatio...
热度：43
19An Event-based Framework for Characterizing the Evolutionary Behavior of Interaction Graphs[以行为模式为特征的交互图的基于事件的框架 ]
Sitaram Asur(俄亥俄州立大学 ) Interaction graphs are ubiquitous in many fields such as bioinformatics, sociology and physical sciences. There have been many studies in the literatu...
热度：24
Sitaram Asur(俄亥俄州立大学 ) Interaction graphs are ubiquitous in many fields such as bioinformatics, sociology and physical sciences. There have been many studies in the literatu...
热度：24
20Data Spectroscopy: Learning Mixture Models using Eigenspaces of Convolution Operators[数据光谱学：使用卷积算子的特征空间学习混合模型]
Mikhail Belkin(俄亥俄州立大学) In this paper we develop a spectral framework for estimating mixture distributions, specifically Gaussian mixture models. In physics, spectroscopy is ...
热度：76
Mikhail Belkin(俄亥俄州立大学) In this paper we develop a spectral framework for estimating mixture distributions, specifically Gaussian mixture models. In physics, spectroscopy is ...
热度：76