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COLING
2010
13 years 4 months ago
Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation
This paper addresses the problem of dynamic model parameter selection for loglinear model based statistical machine translation (SMT) systems. In this work, we propose a principle...
Mu Li, Yinggong Zhao, Dongdong Zhang, Ming Zhou
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
14 years 2 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
ICIAR
2005
Springer
14 years 2 months ago
Machine-Learning-Based Image Categorization
In this paper, a novel and efficient automatic image categorization system is proposed. This system integrates the MIL-based and global-featurebased SVMs for categorization. The IP...
Yutao Han, Xiaojun Qi
IFL
2004
Springer
14 years 2 months ago
A Virtual Machine for Functional Logic Computations
Abstract. We describe the architecture of a virtual machine for executing functional logic programming languages. A distinguishing feature of our machine is that it preserves the o...
Sergio Antoy, Michael Hanus, Jimeng Liu, Andrew P....

Lecture Notes
841views
15 years 7 months ago
General Equilibrium Theory
These lecture notes cover several topics such as Topological Space, Metric Space, Convex Sets, Correspondences, Maximum Theorem, KKM Theorem, Existence of Maximal Element, Selectio...
Nicholas C. Yannelis