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AAAI
2006
15 years 8 months ago
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...
211
Voted
ACL
2006
15 years 8 months ago
Subword-Based Tagging for Confidence-Dependent Chinese Word Segmentation
We proposed a subword-based tagging for Chinese word segmentation to improve the existing character-based tagging. The subword-based tagging was implemented using the maximum entr...
Ruiqiang Zhang, Gen-ichiro Kikui, Eiichiro Sumita
153
Voted
ECIS
2001
15 years 8 months ago
Market Analysis of Electronic Business in Switzerland and Comparisons with Europe
A representative market study was carried out to determine the penetration of electronic business in Swiss companies. A random sample was used in which companies were classified b...
Andreas Meier, Stefan Hüsemann, Ambros Lü...
NIPS
2004
15 years 8 months ago
Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, Jo...
223
Voted
WSCG
2004
217views more  WSCG 2004»
15 years 8 months ago
Blending Textured Images Using a Non-parametric Multiscale MRF Method
In this paper we describe a new method for improving the representation of textures in blends of multiple images based on a Markov Random Field (MRF) algorithm. We show that direc...
Bernard Tiddeman