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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 8 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
NLE
2008
108views more  NLE 2008»
13 years 7 months ago
Using automatically labelled examples to classify rhetorical relations: an assessment
Being able to identify which rhetorical relations (e.g., contrast or explanation) hold between spans of text is important for many natural language processing applications. Using ...
Caroline Sporleder, Alex Lascarides
LKR
2008
13 years 9 months ago
Design and Prototype of a Large-Scale and Fully Sense-Tagged Corpus
Sense tagged corpus plays a very crucial role to Natural Language Processing, especially on the research of word sense disambiguation and natural language understanding. Having a l...
Sue-jin Ker, Chu-Ren Huang, Jia-Fei Hong, Shi-Yin ...
TOH
2008
118views more  TOH 2008»
13 years 7 months ago
Using Haptics to Convey Cause-and-Effect Relations in Climate Visualization
We investigate the potential role of haptics in augmenting the visualization of climate data. In existing approaches to climate visualization, different dimensions of climate data...
Nesra Yannier, Cagatay Basdogan, Serdar Tasiran, O...
HRI
2010
ACM
14 years 2 months ago
Psychological intimacy with robots?: using interaction patterns to uncover depth of relation
— This conceptual paper broaches possibilities and limits of establishing psychological intimacy in HRI. Keywords- human-robot interaction, interaction patterns, social and moral...
Peter H. Kahn Jr., Jolina H. Ruckert, Takayuki Kan...