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JACM
2006
99views more  JACM 2006»
14 years 11 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller
RECOMB
2005
Springer
16 years 1 days ago
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanath...
SIGUCCS
2009
ACM
15 years 4 months ago
Automated lecture recording system with AVCHD camcorder and microserver
Although recording and streaming lecture videos is becoming popular, large-scale lecture recording is still a difficult task for many universities. Auto lecture recording systems ...
Takayuki Nagai
CE
2007
122views more  CE 2007»
14 years 11 months ago
Employing virtual humans for education and training in X3D/VRML worlds
Web-based education and training provides a new paradigm for imparting knowledge; students can access the learning material anytime by operating remotely from any location. Web3D ...
Lucio Ieronutti, Luca Chittaro
JMLR
2010
179views more  JMLR 2010»
14 years 6 months 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