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» Evaluating algorithms that learn from data streams
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ICDE
2011
IEEE
274views Database» more  ICDE 2011»
14 years 8 months ago
SQPR: Stream query planning with reuse
—When users submit new queries to a distributed stream processing system (DSPS), a query planner must allocate physical resources, such as CPU cores, memory and network bandwidth...
Evangelia Kalyvianaki, Wolfram Wiesemann, Quang Hi...
UAI
2003
15 years 6 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
IVA
2010
Springer
15 years 3 months ago
Individualized Gesturing Outperforms Average Gesturing - Evaluating Gesture Production in Virtual Humans
Abstract. How does a virtual agent’s gesturing behavior influence the user’s perception of communication quality and the agent’s personality? This question was investigated ...
Kirsten Bergmann, Stefan Kopp, Friederike Eyssel
SIGMOD
2004
ACM
92views Database» more  SIGMOD 2004»
16 years 4 months ago
Online Maintenance of Very Large Random Samples
Random sampling is one of the most fundamental data management tools available. However, most current research involving sampling considers the problem of how to use a sample, and...
Chris Jermaine, Abhijit Pol, Subramanian Arumugam
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
16 years 5 months ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...