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BMCBI
2008
93views more  BMCBI 2008»
13 years 5 months ago
Hybrid MM/SVM structural sensors for stochastic sequential data
In this paper we present preliminary results stemming from a novel application of Markov Models and Support Vector Machines to splice site classification of Intron-Exon and Exon-I...
Brian Roux, Stephen Winters-Hilt
COLING
2008
13 years 6 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
CSCW
2011
ACM
13 years 13 days ago
Three sequential positions of query repair in interactions with internet search engines
Internet search engines display understanding or misunderstanding of user intent in and through the particular batches of results they retrieve and their perceived relevance. Yet ...
Robert J. Moore, Elizabeth F. Churchill, Raj Gopal...
PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
13 years 12 months ago
Sequential Hierarchical Pattern Clustering
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...
POPL
2009
ACM
14 years 6 months ago
The semantics of x86-CC multiprocessor machine code
Multiprocessors are now dominant, but real multiprocessors do not provide the sequentially consistent memory that is assumed by most work on semantics and verification. Instead, t...
Susmit Sarkar, Peter Sewell, Francesco Zappa Narde...