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» Machine-Learning Applications of Algorithmic Randomness
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SODA
2007
ACM
76views Algorithms» more  SODA 2007»
15 years 3 months ago
An unbiased pointing operator for unlabeled structures, with applications to counting and sampling
We introduce a general method to count and randomly sample unlabeled combinatorial structures. The approach is based on pointing unlabeled structures in an “unbiased” way, i.e...
Manuel Bodirsky, Éric Fusy, Mihyun Kang, St...
BMCBI
2010
108views more  BMCBI 2010»
15 years 1 months ago
Predicting changes in protein thermostability brought about by single- or multi-site mutations
Background: An important aspect of protein design is the ability to predict changes in protein thermostability arising from single- or multi-site mutations. Protein thermostabilit...
Jian Tian, Ningfeng Wu, Xiaoyu Chu, Yunliu Fan
ACL
2010
14 years 11 months ago
Conditional Random Fields for Word Hyphenation
Finding allowable places in words to insert hyphens is an important practical problem. The algorithm that is used most often nowadays has remained essentially unchanged for 25 yea...
Nikolaos Trogkanis, Charles Elkan
RECOMB
2004
Springer
16 years 2 months ago
A random graph approach to NMR sequential assignment
Nuclear magnetic resonance (NMR) spectroscopy allows scientists to study protein structure, dynamics and interactions in solution. A necessary first step for such applications is ...
Chris Bailey-Kellogg, Sheetal Chainraj, Gopal Pand...
SMA
2008
ACM
396views Solid Modeling» more  SMA 2008»
15 years 1 months ago
Fast mesh segmentation using random walks
3D mesh models are now widely available for use in various applications. The demand for automatic model analysis and understanding is ever increasing. Mesh segmentation is an impo...
Yu-Kun Lai, Shi-Min Hu, Ralph R. Martin, Paul L. R...