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» Issues in evaluation of stream learning algorithms
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ICML
2008
IEEE
14 years 8 months ago
Modeling interleaved hidden processes
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
Niels Landwehr
CIKM
2006
Springer
13 years 11 months ago
Incremental hierarchical clustering of text documents
Incremental hierarchical text document clustering algorithms are important in organizing documents generated from streaming on-line sources, such as, Newswire and Blogs. However, ...
Nachiketa Sahoo, Jamie Callan, Ramayya Krishnan, G...
JAIR
2010
142views more  JAIR 2010»
13 years 6 months ago
Context-based Word Acquisition for Situated Dialogue in a Virtual World
To tackle the vocabulary problem in conversational systems, previous work has applied unsupervised learning approaches on co-occurring speech and eye gaze during interaction to au...
Shaolin Qu, Joyce Yue Chai
JMLR
2010
198views more  JMLR 2010»
13 years 2 months ago
Online Anomaly Detection under Adversarial Impact
Security analysis of learning algorithms is gaining increasing importance, especially since they have become target of deliberate obstruction in certain applications. Some securit...
Marius Kloft, Pavel Laskov
WWW
2003
ACM
14 years 8 months ago
P2Cast: peer-to-peer patching scheme for VoD service
Providing video on demand (VoD) service over the Internet in a scalable way is a challenging problem. In this paper, we propose P2Cast - an architecture that uses a peer-to-peer a...
Yang Guo, Kyoungwon Suh, James F. Kurose, Donald F...