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» Approximate Learning of Dynamic Models
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JMLR
2012
13 years 5 months ago
Maximum Margin Temporal Clustering
Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
Minh Hoai Nguyen, Fernando De la Torre
SIGMOD
2010
ACM
324views Database» more  SIGMOD 2010»
15 years 7 months ago
Similarity search and locality sensitive hashing using ternary content addressable memories
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Rajendra Shinde, Ashish Goel, Pankaj Gupta, Debojy...
140
Voted
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
16 years 3 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
SECON
2008
IEEE
15 years 9 months ago
Optimal Buffer Management Policies for Delay Tolerant Networks
—Delay Tolerant Networks are wireless networks where disconnections may occur frequently due to propagation phenomena, node mobility, and power outages. Propagation delays may al...
Amir Krifa, Chadi Barakat, Thrasyvoulos Spyropoulo...
PERVASIVE
2009
Springer
15 years 9 months ago
Methodologies for Continuous Cellular Tower Data Analysis
This paper presents novel methodologies for the analysis of continuous cellular tower data from 215 randomly sampled subjects in a major urban city. We demonstrate the potential of...
Nathan Eagle, John A. Quinn, Aaron Clauset