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HPCC
2005
Springer
15 years 10 months ago
Fast Sparse Matrix-Vector Multiplication by Exploiting Variable Block Structure
Abstract. We improve the performance of sparse matrix-vector multiplication (SpMV) on modern cache-based superscalar machines when the matrix structure consists of multiple, irregu...
Richard W. Vuduc, Hyun-Jin Moon
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
15 years 10 months ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...
EGH
2004
Springer
15 years 8 months ago
Understanding the efficiency of GPU algorithms for matrix-matrix multiplication
Utilizing graphics hardware for general purpose numerical computations has become a topic of considerable interest. The implementation of streaming algorithms, typified by highly ...
Kayvon Fatahalian, Jeremy Sugerman, Pat Hanrahan
163
Voted
ECIR
2010
Springer
15 years 5 months ago
Aggregation of Multiple Judgments for Evaluating Ordered Lists
Abstract. Many tasks (e.g., search and summarization) result in an ordered list of items. In order to evaluate such an ordered list of items, we need to compare it with an ideal or...
Hyun Duk Kim, ChengXiang Zhai, Jiawei Han
JMLR
2006
156views more  JMLR 2006»
15 years 4 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...