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» Distributed Consensus, revisited
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ICAI
2004
13 years 10 months ago
A Comparison of Resampling Methods for Clustering Ensembles
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
JIRS
2000
121views more  JIRS 2000»
13 years 8 months ago
Entropy-Based Markov Chains for Multisensor Fusion
Abstract. This paper proposes an entropy based Markov chain (EMC) fusion technique and demonstrates its applications in multisensor fusion. Self-entropy and conditional entropy, wh...
Albert C. S. Chung, Helen C. Shen
SIGIR
2011
ACM
12 years 11 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
CONCUR
2009
Springer
13 years 6 months ago
On Convergence of Concurrent Systems under Regular Interactions
Convergence is often the key liveness property for distributed systems that interact with physical processes. Techniques for proving convergence (asymptotic stability) have been ex...
Pavithra Prabhakar, Sayan Mitra, Mahesh Viswanatha...
HICSS
2008
IEEE
111views Biometrics» more  HICSS 2008»
14 years 3 months ago
Participant-Driven Collaborative Convergence
Traditional GSS workflow leverages the abilities of an expert facilitator to lead groups through the convergence activities. This dependence on a facilitator creates a bottleneck ...
Joel H. Helquist, John Kruse, Mark Adkins