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AI
2009
Springer
14 years 4 months ago
Training Global Linear Models for Chinese Word Segmentation
This paper examines how one can obtain state of the art Chinese word segmentation using global linear models. We provide experimental comparisons that give a detailed road-map for ...
Dong Song, Anoop Sarkar
FSE
2005
Springer
108views Cryptology» more  FSE 2005»
14 years 3 months ago
Unbiased Random Sequences from Quasigroup String Transformations
Abstract. The need of true random number generators for many purposes (ranging from applications in cryptography and stochastic simulation, to search heuristics and game playing) i...
Smile Markovski, Danilo Gligoroski, Ljupco Kocarev
ML
2002
ACM
141views Machine Learning» more  ML 2002»
13 years 9 months ago
On the Existence of Linear Weak Learners and Applications to Boosting
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
Shie Mannor, Ron Meir
IJON
2010
150views more  IJON 2010»
13 years 8 months ago
Linear discriminant analysis using rotational invariant L1 norm
Linear Discriminant Analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition....
Xi Li, Weiming Hu, Hanzi Wang, Zhongfei Zhang
TSP
2011
230views more  TSP 2011»
13 years 5 months ago
Bayesian Nonparametric Inference of Switching Dynamic Linear Models
—Many complex dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switc...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...