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» Analysing Randomized Distributed Algorithms
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KDD
2009
ACM
239views Data Mining» more  KDD 2009»
16 years 2 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...
138
Voted
KDD
2010
ACM
252views Data Mining» more  KDD 2010»
15 years 6 months ago
Fast query execution for retrieval models based on path-constrained random walks
Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, terms, and metadata, and labe...
Ni Lao, William W. Cohen
119
Voted
ECCV
2008
Springer
16 years 4 months ago
Sparse Long-Range Random Field and Its Application to Image Denoising
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
Yunpeng Li, Daniel P. Huttenlocher
SIGIR
2009
ACM
15 years 9 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero
BROADNETS
2004
IEEE
15 years 6 months ago
Random Asynchronous Wakeup Protocol for Sensor Networks
This paper presents Random Asynchronous Wakeup (RAW), a power saving technique for sensor networks that reduces energy consumption without significantly affecting the latency or c...
Vamsi Paruchuri, Shivakumar Basavaraju, Arjan Durr...