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» Evaluating algorithms that learn from data streams
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IPPS
2003
IEEE
15 years 5 months ago
Leveraging Block Decisions and Aggregation in the ShareStreams QoS Architecture
ShareStreams (Scalable Hardware Architectures for Stream Schedulers) is a canonical architecture for realizing a range of scheduling disciplines. This paper discusses the design c...
Raj Krishnamurthy, Sudhakar Yalamanchili, Karsten ...
AUSAI
2006
Springer
15 years 4 months ago
Voting Massive Collections of Bayesian Network Classifiers for Data Streams
Abstract. We present a new method for voting exponential (in the number of attributes) size sets of Bayesian classifiers in polynomial time with polynomial memory requirements. Tra...
Remco R. Bouckaert
MIR
2010
ACM
167views Multimedia» more  MIR 2010»
15 years 7 months ago
Improving automatic music classification performance by extracting features from different types of data
This paper discusses two sets of automatic musical genre classification experiments. Promising research directions are then proposed based on the results of these experiments. The...
Cory McKay, Ichiro Fujinaga
111
Voted
FLAIRS
2004
15 years 2 months ago
A Faster Algorithm for Generalized Multiple-Instance Learning
In our prior work, we introduced a generalization of the multiple-instance learning (MIL) model in which a bag's label is not based on a single instance's proximity to a...
Qingping Tao, Stephen D. Scott
ICMCS
1995
IEEE
130views Multimedia» more  ICMCS 1995»
15 years 4 months ago
The Concord Algorithm for Synchronization of Networked Multimedia Streams
Synchronizing di erent data streams from multiple sources simultaneously at a receiver is one of the basic problems involved in multimedia distributed systems. This requirement st...
Narayanan Shivakumar, Cormac J. Sreenan, B. Narend...