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» An Abstract Weighting Framework for Clustering Algorithms
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BMCBI
2007
105views more  BMCBI 2007»
13 years 7 months ago
Finding regulatory elements and regulatory motifs: a general probabilistic framework
Over the last two decades a large number of algorithms has been developed for regulatory motif finding. Here we show how many of these algorithms, especially those that model bind...
Erik van Nimwegen
PKDD
2010
Springer
166views Data Mining» more  PKDD 2010»
13 years 6 months ago
A Cluster-Level Semi-supervision Model for Interactive Clustering
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...
Avinava Dubey, Indrajit Bhattacharya, Shantanu God...
FSTTCS
2007
Springer
14 years 1 months ago
Program Analysis Using Weighted Pushdown Systems
Abstract. Pushdown systems (PDSs) are an automata-theoretic formalism for specifying a class of infinite-state transition systems. Infiniteness comes from the fact that each con...
Thomas W. Reps, Akash Lal, Nicholas Kidd
ICCV
2007
IEEE
14 years 9 months ago
A Robust Algorithm for Fiber-Bundle Atlas Construction
In this paper, we demonstrate an integrated registration and clustering algorithm to compute an atlas of fiberbundles from a set of multi-subject diffusion weighted MR images. We ...
Ulas Ziyan, Mert R. Sabuncu, W. Eric L. Grimson, C...
IJCNN
2008
IEEE
14 years 2 months ago
Ranking and selecting clustering algorithms using a meta-learning approach
Abstract— We present a novel framework that applies a metalearning approach to clustering algorithms. Given a dataset, our meta-learning approach provides a ranking for the candi...
Marcílio Carlos Pereira de Souto, Ricardo B...