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NIPS
2008
15 years 8 months ago
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...
NIPS
2007
15 years 8 months ago
Multiple-Instance Active Learning
We present a framework for active learning in the multiple-instance (MI) setting. In an MI learning problem, instances are naturally organized into bags and it is the bags, instea...
Burr Settles, Mark Craven, Soumya Ray
AAAI
1996
15 years 7 months ago
Qualitative Multiple-Fault Diagnosis of Continuous Dynamic Systems Using Behavioral Modes
Most model-based diagnosis systems, such as GDE and Sherlock, have concerned discrete, static systems such as logic circuits and use simple constraint propagation to detect incons...
Siddarth Subramanian, Raymond J. Mooney
CLEF
2010
Springer
15 years 7 months ago
ImageCLEF 2010 Modality Classification in Medical Image Retrieval: Multiple Feature Fusion with Normalized Kernel Function
Abstract. In this paper, we describe an approach for the automatic modality classification in medical image retrieval task of the 2010 CLEF cross-language image retrieval campaign ...
Xian-Hua Hanand Yen-Wei Chen
BMCBI
2007
107views more  BMCBI 2007»
15 years 6 months ago
Progressive multiple sequence alignments from triplets
Motivation: The quality of progressive sequence alignments strongly depends on the accuracy of the individual pairwise alignment steps since gaps that are introduced at one step c...
Matthias Kruspe, Peter F. Stadler