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» Evaluating algorithms that learn from data streams
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ICTCS
2005
Springer
15 years 9 months ago
Improved Algorithms for Polynomial-Time Decay and Time-Decay with Additive Error
Abstract. We consider the problem of maintaining polynomial and exponential decay aggregates of a data stream, where the weight of values seen from the stream diminishes as time el...
Tsvi Kopelowitz, Ely Porat
PKDD
2010
Springer
128views Data Mining» more  PKDD 2010»
15 years 2 months ago
Learning to Tag from Open Vocabulary Labels
Most approaches to classifying media content assume a fixed, closed vocabulary of labels. In contrast, we advocate machine learning approaches which take advantage of the millions...
Edith Law, Burr Settles, Tom M. Mitchell
KBS
2007
103views more  KBS 2007»
15 years 4 months ago
Eye-tracking for user modeling in exploratory learning environments: An empirical evaluation
In this paper, we describe research on using eye-tracking data for on-line assessment of user meta-cognitive behavior during interaction with an environment for exploration-based ...
Cristina Conati, Christina Merten
ICDE
2005
IEEE
183views Database» more  ICDE 2005»
16 years 5 months ago
Adaptive Caching for Continuous Queries
We address the problem of executing continuous multiway join queries in unpredictable and volatile environments. Our query class captures windowed join queries in data stream syst...
Shivnath Babu, Kamesh Munagala, Jennifer Widom, Ra...
METMBS
2004
151views Mathematics» more  METMBS 2004»
15 years 5 months ago
Machine Learning Techniques for the Evaluation of External Skeletal Fixation Structures
In this thesis we compare several machine learning techniques for evaluating external skeletal fixation proposals. We experimented in the context of dog bone fractures but the pot...
Ning Suo, Khaled Rasheed, Walter D. Potter, Dennis...