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» Combining Methods for Dynamic Multiple Classifier Systems
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87
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SIGIR
2009
ACM
15 years 8 months ago
Reciprocal rank fusion outperforms condorcet and individual rank learning methods
Reciprocal Rank Fusion (RRF), a simple method for combining the document rankings from multiple IR systems, consistently yields better results than any individual system, and bett...
Gordon V. Cormack, Charles L. A. Clarke, Stefan B&...
AAAI
2006
15 years 3 months ago
Automatically Labeling the Inputs and Outputs of Web Services
Information integration systems combine data from multiple heterogeneous Web services to answer complex user queries, provided a user has semantically modeled the service first. T...
Kristina Lerman, Anon Plangprasopchok, Craig A. Kn...
117
Voted
ICCV
2009
IEEE
1419views Computer Vision» more  ICCV 2009»
16 years 7 months ago
On Feature Combination for Multiclass Object Classification
A key ingredient in the design of visual object classification systems is the identification of relevant class specific aspects while being robust to intra-class variations. Whil...
Peter Gehler, Sebastian Nowozin
ICC
2008
IEEE
136views Communications» more  ICC 2008»
15 years 8 months ago
New Beamforming Schemes with Optimum Receive Combining for Multiuser MIMO systems
— In this paper, we present a new beamforming scheme for a downlink of multiuser multiple-input multipleoutput (MIMO) communication systems. Recently, a blockdiagonalization (BD)...
Sang-Rim Lee, Seokhwan Park, Sung Hyun Moon, Inkyu...
CORR
2008
Springer
140views Education» more  CORR 2008»
15 years 2 months ago
Adaptive Spam Detection Inspired by a Cross-Regulation Model of Immune Dynamics: A Study of Concept Drift
Abstract. This paper proposes a novel solution to spam detection inspired by a model of the adaptive immune system known as the crossregulation model. We report on the testing of a...
Alaa Abi-Haidar, Luis Mateus Rocha