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» General Framework on Change Detection in a Sparse Domain
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SIGIR
2010
ACM
15 years 3 months ago
Adaptive near-duplicate detection via similarity learning
In this paper, we present a novel near-duplicate document detection method that can easily be tuned for a particular domain. Our method represents each document as a real-valued s...
Hannaneh Hajishirzi, Wen-tau Yih, Aleksander Kolcz
CIKM
2010
Springer
14 years 10 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
97
Voted
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
16 years 4 days ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
104
Voted
WIA
2001
Springer
15 years 4 months ago
Adaptive Rule-Driven Devices - General Formulation and Case Study
A formal device is said to be adaptive whenever its behavior changes dynamically, in a direct response to its input stimuli, without interference of external agents, even its user...
João José Neto
FOSSACS
2009
Springer
15 years 3 months ago
Interprocedural Dataflow Analysis over Weight Domains with Infinite Descending Chains
We study generalized fixed-point equations over idempotent semirings and provide an efficient algorithm for the detection whether a sequence of Kleene's iterations stabilizes ...
Morten Kühnrich, Stefan Schwoon, Jirí ...