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» Using Bayesian Networks to Model Agent Relationships
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DIS
2005
Springer
15 years 3 months ago
Exploring Predicate-Argument Relations for Named Entity Recognition in the Molecular Biology Domain
In this paper, the semantic relationships between a predicate and its arguments in terms of semantic roles are employed to improve lexical-based named entity recognition (NER) in t...
Tuangthong Wattarujeekrit, Nigel Collier
BMCBI
2007
130views more  BMCBI 2007»
14 years 10 months ago
A model-based optimization framework for the inference of regulatory interactions using time-course DNA microarray expression da
Background: Proteins are the primary regulatory agents of transcription even though mRNA expression data alone, from systems like DNA microarrays, are widely used. In addition, th...
Reuben Thomas, Carlos J. Paredes, Sanjay Mehrotra,...
EWSN
2004
Springer
15 years 9 months ago
Context-Aware Sensors
Wireless sensor networks typically consist of a large number of sensor nodes embedded in a physical space. Such sensors are low-power devices that are primarily used for monitoring...
Eiman Elnahrawy, Badri Nath
ISMVL
2007
IEEE
109views Hardware» more  ISMVL 2007»
15 years 4 months ago
Quantum Mechanical Model of Emotional Robot Behaviors
In this paper the emotional model of the humanoid Cynthea (Cybernetic Networked Humanoid Emotional Agent) robot is presented. The robot is explained at two levels: the cognitive l...
Martin Lukac, Marek A. Perkowski
AAAI
2011
13 years 10 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos