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» Learning from Multiple Sources of Inaccurate Data
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AAAI
2007
15 years 5 months ago
Combining Multiple Heuristics Online
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
149
Voted
TIP
2011
217views more  TIP 2011»
14 years 10 months ago
Contextual Object Localization With Multiple Kernel Nearest Neighbor
—Recently, many object localization models have shown that incorporating contextual cues can greatly improve accuracy over using appearance features alone. Therefore, many of the...
Brian McFee, Carolina Galleguillos, Gert R. G. Lan...
208
Voted
ICDE
2001
IEEE
121views Database» more  ICDE 2001»
16 years 4 months ago
Model-Based Mediation with Domain Maps
We propose an extension to current view-based mediator systems called model-based mediation, in which views are defined and executed at the level of conceptual models (CMs) rather...
Amarnath Gupta, Bertram Ludäscher, Maryann E....
150
Voted
ICTAI
2007
IEEE
15 years 9 months ago
Establishing Logical Rules from Empirical Data
We review a method of generating logical rules, or axioms, from empirical data. This method, using closed set properties of formal concept analysis, has been previously described ...
John L. Pfaltz
137
Voted
COMAD
2008
15 years 5 months ago
Querying for Information Integration: How to go from an Imprecise Intent to a Precise Query?
In this paper, we address the problem of query formulation in the context of multi-domain integration of heterogeneous data on the Web. We argue that effectively tackling this pro...
Aditya Telang, Sharma Chakravarthy, Chengkai Li