18 search results - page 2 / 4 » Hidden Markov Tree Model in Dependency-based Machine Transla... |
HICSS
2003
IEEE
13 years 10 months ago
2003
IEEE
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
TSP
2010
12 years 11 months ago
2010
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
EMNLP
2008
13 years 6 months ago
2008
This paper presents a new hypothesis alignment method for combining outputs of multiple machine translation (MT) systems. An indirect hidden Markov model (IHMM) is proposed to add...
ICML
2004
IEEE
13 years 10 months ago
2004
IEEE
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Conditional Random Fields (CRFs) provide a powerful instrument for labeling sequences. So far, however, CRFs have only been considered for labeling sequences over flat al...