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KDD
2006
ACM
181views Data Mining» more  KDD 2006»
16 years 7 months ago
Cryptographically private support vector machines
We study the problem of private classification using kernel methods. More specifically, we propose private protocols implementing the Kernel Adatron and Kernel Perceptron learning ...
Helger Lipmaa, Sven Laur, Taneli Mielikäinen
CADE
2008
Springer
16 years 7 months ago
MaLARea SG1- Machine Learner for Automated Reasoning with Semantic Guidance
This paper describes a system combining model-based and learning-based methods for automated reasoning in large theories, i.e. on a large number of problems that use many axioms, l...
Geoff Sutcliffe, Jirí Vyskocil, Josef Urban...
COLING
2008
15 years 8 months ago
Robust and Efficient Chinese Word Dependency Analysis with Linear Kernel Support Vector Machines
Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the e...
Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee
EMNLP
2008
15 years 8 months ago
Generalizing Local and Non-Local Word-Reordering Patterns for Syntax-Based Machine Translation
Syntactic word reordering is essential for translations across different grammar structures between syntactically distant languagepairs. In this paper, we propose to embed local a...
Bing Zhao, Yaser Al-Onaizan
LREC
2008
119views Education» more  LREC 2008»
15 years 8 months ago
Assessing the Costs of Machine-Assisted Corpus Annotation through a User Study
Fixed, limited budgets often constrain the amount of expert annotation that can go into the construction of annotated corpora. Estimating the cost of annotation is the first step ...
Eric K. Ringger, Marc Carmen, Robbie Haertel, Kevi...