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Št. zadetkov: 5
Improved Nystrom Low-Rank Approximation and Error Analysis
Kai Zhang
Video in druga učna gradiva
Oznake: computer science;algorithms and data structures;machine learning;clustering
Low-rank matrix approximation is an effective tool in alleviating the memory and computational burdens of kernel methods and sampling, as the mainstream of such algorithms, has drawn considerable attention in both theory and practice. This paper presents detailed studies on the Nystrom sampling sche ...
Leto: 2008 Vir: videolectures.net
Prototype Vector Machine for Large Scale Semi-Supervised Learning
Kai Zhang
Video in druga učna gradiva
Oznake:
Practical data analysis and mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabelled data from various scientific domains poses a big challenge to large-scale semi-supervised learning (SSL). We note that the computational intensiveness of graph-bas ...
Leto: 2009 Vir: videolectures.net
Annealed Sparsity via Adaptive and Dynamic Shrinking
Kai Zhang
Video in druga učna gradiva
Oznake: computer science;data science
Sparse learning has received tremendous amount of interest in high-dimensional data analysis due to its model interpretability and the low-computational cost. Among the various techniques, adaptive l1-regularization is an effective framework to improve the convergence behaviour of the LASSO, by using ...
Leto: 2016 Vir: videolectures.net
Randomization or Condensation? Linear­Cost Matrix Sketching Via Cascaded Compression Sampling
Kai Zhang
Video in druga učna gradiva
Oznake: computer science;data science
Matrix sketching is aimed at finding compact representations of a matrix while simultaneously preserving most of its properties, which is a fundamental building block in modern scientific computing. Randomized algorithms represent state-of-the-art and have attracted huge interest from the fields of ...
Leto: 2017 Vir: videolectures.net
Study on the properties of sinusoidal micro-textured ball end milling cutter for milling titanium alloy
Qinghua Li, Baizhong Wang, Chunlu Ma, Qingyu Guan, Hu Shi, Kai Xiao, Shihong Zhang
Izvirni znanstveni članek
Oznake: sinusoidal micro-texture;milling tools;milling force;milling temperature;surface roughness;parameter optimization;titanium alloy;
To improve the cutting performance when cutting hard alloys and achieve reasonable optimization of micro-texture parameters, this paper proposes a sinusoidal micro-textured tool, with four parameters set as micro-textured spacing, period, width, and amplitude. Establish three-dimensional models of n ...
Leto: 2024 Vir: Fakulteta za strojništvo (UL FS)
Št. zadetkov: 5
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