Sciweavers

5463 search results - page 87 / 1093
» Evaluating algorithms that learn from data streams
Sort
View
ICDE
2012
IEEE
199views Database» more  ICDE 2012»
13 years 3 months ago
Physically Independent Stream Merging
—A facility for merging equivalent data streams can support multiple capabilities in a data stream management system (DSMS), such as query-plan switching and high availability. O...
Badrish Chandramouli, David Maier, Jonathan Goldst...
CORR
2010
Springer
144views Education» more  CORR 2010»
15 years 21 days ago
Algorithmic Verification of Single-Pass List Processing Programs
We introduce streaming data string transducers that map input data strings to output data strings in a single left-to-right pass in linear time. Data strings are (unbounded) seque...
Rajeev Alur, Pavol Cerný
PKDD
2004
Springer
324views Data Mining» more  PKDD 2004»
15 years 6 months ago
Orange: From Experimental Machine Learning to Interactive Data Mining
Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...
Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk
103
Voted
COCOON
2007
Springer
15 years 6 months ago
Streaming Algorithms Measured in Terms of the Computed Quantity
The last decade witnessed the extensive studies of algorithms for data streams. In this model, the input is given as a sequence of items passing only once or a few times, and we ar...
Shengyu Zhang
86
Voted
CORR
2002
Springer
79views Education» more  CORR 2002»
15 years 13 days ago
Technical Note: Bias and the Quantification of Stability
Research on bias in machine learning algorithms has generally been concerned with the impact of bias on predictive accuracy. We believe that there are other factors that should al...
Peter D. Turney