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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 8 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
DAC
2003
ACM
14 years 8 months ago
Accurate timing analysis by modeling caches, speculation and their interaction
Schedulability analysis of real-time embedded systems requires worst case timing guarantees of embedded software performance. This involves not only language level program analysi...
Xianfeng Li, Tulika Mitra, Abhik Roychoudhury
DAC
2003
ACM
14 years 8 months ago
A retargetable micro-architecture simulator
The capability of performing architectural exploration has become essential for embedded microprocessor design in System-On-Chip. While many retargetable instruction set (ISA) sim...
Wai Sum Mong, Jianwen Zhu
WWW
2009
ACM
14 years 8 months ago
Fast dynamic reranking in large graphs
In this paper we consider the problem of re-ranking search results by incorporating user feedback. We present a graph theoretic measure for discriminating irrelevant results from ...
Purnamrita Sarkar, Andrew W. Moore
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
14 years 8 months ago
Scalable look-ahead linear regression trees
Most decision tree algorithms base their splitting decisions on a piecewise constant model. Often these splitting algorithms are extrapolated to trees with non-constant models at ...
David S. Vogel, Ognian Asparouhov, Tobias Scheffer