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NIPS
2003
15 years 8 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
CORR
2010
Springer
95views Education» more  CORR 2010»
15 years 6 months ago
Performance evaluation for ML sequence detection in ISI channels with Gauss Markov Noise
Inter-symbol interference (ISI) channels with data dependent Gauss Markov noise have been used to model read channels in magnetic recording and other data storage systems. The Vite...
Naveen Kumar, Aditya Ramamoorthy, Murti V. Salapak...
CORR
2011
Springer
219views Education» more  CORR 2011»
15 years 1 months ago
Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
KDD
2004
ACM
163views Data Mining» more  KDD 2004»
16 years 7 months ago
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods
We consider the problem of improving named entity recognition (NER) systems by using external dictionaries--more specifically, the problem of extending state-of-the-art NER system...
William W. Cohen, Sunita Sarawagi
HCI
2009
15 years 4 months ago
Partially Observable Markov Decision Process (POMDP) Technologies for Sign Language Based Human-Computer Interaction
Sign language (SL) recognition modules in human-computer interaction systems need to be both fast and reliable. In cases where multiple sets of features are extracted from the SL d...
Sylvie C. W. Ong, David Hsu, Wee Sun Lee, Hanna Ku...