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EMNLP
2007
13 years 10 months ago
Finding Good Sequential Model Structures using Output Transformations
In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelā...
Edward Loper
BMCBI
2008
130views more  BMCBI 2008»
13 years 9 months ago
Function approximation approach to the inference of reduced NGnet models of genetic networks
Background: The inference of a genetic network is a problem in which mutual interactions among genes are deduced using time-series of gene expression patterns. While a number of m...
Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Hi...
ESIAT
2009
IEEE
13 years 7 months ago
Ocean Primary Production in China Shelf Sea Estimated with SeaWiFS and MODIS
Ocean primary production (OPP) is an important indicator of ocean ecological system. The spatial and temporal pattern of OPP is helpful for global climate change study. Remote sens...
Pifu Cong, Limei Qu, Zheng Niu
HRI
2006
ACM
14 years 3 months ago
Using context and sensory data to learn first and second person pronouns
We present a method of grounded word learning that is powerful enough to learn the meanings of ļ¬rst and second person pronouns. The model uses the understood words in an utteran...
Kevin Gold, Brian Scassellati
KCAP
2005
ACM
14 years 2 months ago
Automated story capture from conversational speech
While storytelling has long been recognized as an important part of effective knowledge management in organizations, knowledge management technologies have generally not distingui...
Andrew S. Gordon, Kavita Ganesan