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PR
2006
147views more  PR 2006»
15 years 6 months ago
Robust locally linear embedding
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
Hong Chang, Dit-Yan Yeung
SIAMJO
2002
122views more  SIAMJO 2002»
15 years 5 months ago
Robust Filtering via Semidefinite Programming with Applications to Target Tracking
In this paper we propose a novel finite-horizon, discrete-time, time-varying filtering method based on the robust semidefinite programming (SDP) technique. The proposed method prov...
Lingjie Li, Zhi-Quan Luo, Timothy N. Davidson, Kon...
NIPS
2007
15 years 7 months ago
A Probabilistic Approach to Language Change
We present a probabilistic approach to language change in which word forms are represented by phoneme sequences that undergo stochastic edits along the branches of a phylogenetic ...
Alexandre Bouchard-Côté, Percy Liang,...
EACL
2003
ACL Anthology
15 years 7 months ago
Combining Distributional and Morphological Information for Part of Speech Induction
In this paper we discuss algorithms for clustering words into classes from unlabelled text using unsupervised algorithms, based on distributional and morphological information. We...
Alexander Clark
PROPOR
2010
Springer
264views Languages» more  PROPOR 2010»
15 years 11 months ago
Comparing Sentence-Level Features for Authorship Analysis in Portuguese
In this paper we compare the robustness of several types of stylistic markers to help discriminate authorship at sentence level. We train a SVM-based classifier using each set of ...
Rui Sousa-Silva, Luís Sarmento, Tim Grant, ...