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» Evaluating algorithms that learn from data streams
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ICPPW
2000
IEEE
15 years 10 months ago
Active Streaming in Transport Delay Minimization
In this paper we present a technique for reducing response delay for web systems, which is based on a proactive cache scheme. It combines predictive pre-fetching and streaming to ...
Javed I. Khan
NIPS
1997
15 years 7 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 6 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
UAI
2008
15 years 7 months ago
Learning Hidden Markov Models for Regression using Path Aggregation
We consider the task of learning mappings from sequential data to real-valued responses. We present and evaluate an approach to learning a type of hidden Markov model (HMM) for re...
Keith Noto, Mark Craven
ISMIR
2005
Springer
175views Music» more  ISMIR 2005»
15 years 12 months ago
A Classification Approach to Melody Transcription
Melodies provide an important conceptual summarization of polyphonic audio. The extraction of melodic content has practical applications ranging from content-based audio retrieval...
Graham E. Poliner, Daniel P. W. Ellis