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NIPS
1996
13 years 10 months ago
Adaptively Growing Hierarchical Mixtures of Experts
We propose a novelapproach to automaticallygrowing and pruning Hierarchical Mixtures of Experts. The constructive algorithm proposed here enables large hierarchies consisting of s...
Jürgen Fritsch, Michael Finke, Alex Waibel
TREC
2007
13 years 10 months ago
University of Twente at the TREC 2007 Enterprise Track: Modeling Relevance Propagation for the Expert Search Task
This paper describes several approaches which we used for the expert search task of the TREC 2007 Enterprise track. We studied several methods of relevance propagation from docume...
Pavel Serdyukov, Henning Rode, Djoerd Hiemstra
HICSS
2005
IEEE
132views Biometrics» more  HICSS 2005»
14 years 2 months ago
Multi-Expert Decision-Making with Linguistic Information: A Probabilistic-Based Model
It is well-known that linguistic decision-making problems that manage preferences from different experts follow a common resolution scheme composed by two phases: an aggregation p...
Van-Nam Huynh, Yoshiteru Nakamori
PAKM
2008
13 years 10 months ago
The Right Expert at the Right Time and Place
Abstract. We propose a unified and complete solution for expert finding in organizations, including not only expertise identification, but also expertise selection functionality. T...
Pavel Serdyukov, Ling Feng, Arthur H. van Bunninge...
CORR
2011
Springer
213views Education» more  CORR 2011»
13 years 4 months ago
Adapting to Non-stationarity with Growing Expert Ensembles
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Cl...