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GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
14 years 3 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
ICIAR
2007
Springer
14 years 3 months ago
Landmark-Based Non-rigid Registration Via Graph Cuts
Abstract. This paper presents an approach based on graph cuts initially used for motion segmentation that is being applied to the nonrigid registration problem. The main contributi...
Herve Lombaert, Yiyong Sun, Farida Cheriet
VLDB
1995
ACM
73views Database» more  VLDB 1995»
14 years 17 days ago
Hot Block Clustering for Disk Arrays with Dynamic Striping
RAID5 disk arrays provide high performance and high reliability for reasonable cost. However RAID5 suffers a performance penalty during block updates. In order to overcome this pr...
Kazuhiko Mogi, Masaru Kitsuregawa
EMNLP
2008
13 years 10 months ago
Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems
This paper presents a new hypothesis alignment method for combining outputs of multiple machine translation (MT) systems. An indirect hidden Markov model (IHMM) is proposed to add...
Xiaodong He, Mei Yang, Jianfeng Gao, Patrick Nguye...
CORR
2007
Springer
128views Education» more  CORR 2007»
13 years 9 months ago
Model Selection Through Sparse Maximum Likelihood Estimation
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...