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JMLR
2010
179views more  JMLR 2010»
15 years 28 days ago
PAC-Bayesian Analysis of Co-clustering and Beyond
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Yevgeny Seldin, Naftali Tishby
ISPD
2005
ACM
188views Hardware» more  ISPD 2005»
15 years 11 months ago
A semi-persistent clustering technique for VLSI circuit placement
Placement is a critical component of today's physical synthesis flow with tremendous impact on the final performance of VLSI designs. However, it accounts for a significant p...
Charles J. Alpert, Andrew B. Kahng, Gi-Joon Nam, S...
CLUSTER
2008
IEEE
16 years 18 days ago
Towards an understanding of the performance of MPI-IO in Lustre file systems
—Lustre is becoming an increasingly important file system for large-scale computing clusters. The problem, however, is that many data-intensive applications use MPI-IO for their ...
Jeremy Logan, Phillip M. Dickens
COLING
2010
15 years 1 months ago
Benchmarking of Statistical Dependency Parsers for French
We compare the performance of three statistical parsing architectures on the problem of deriving typed dependency structures for French. The architectures are based on PCFGs with ...
Marie Candito, Joakim Nivre, Pascal Denis, Enrique...
PKDD
2010
Springer
166views Data Mining» more  PKDD 2010»
15 years 4 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...