Sciweavers

ICIA
2007
13 years 10 months ago
Supporting Interaction in the ROBOCARE Intelligent Assistive Environment
Amedeo Cesta, Gabriella Cortellessa, Federico Peco...
ICIA
2007
13 years 10 months ago
Task Learning by Instruction: Benefits and Challenges for Intelligent Interactive Systems
The CALO desktop assistant aims to provide assistance through many AI technologies, including several techniques for learning to perform tasks. Based on our experiences implementi...
Jim Blythe, Prateek Tandon, Mandar Tillu
ICIA
2007
13 years 10 months ago
Integrating Multiple Representations of Spatial Knowledge for Mapping, Navigation, and Communication
A robotic chauffeur should reason about spatial information with a variety of scales, dimensions, and ontologies. Rich representations of both the quantitative and qualitative cha...
Patrick Beeson, Matt MacMahon, Joseph Modayil, Ani...
FLAIRS
2007
13 years 10 months ago
Cohesion and Structural Organization in High School Texts
Recent research in reading comprehension supports the hypothesis that readers are aided by textual cohesion. Traditional readability formulas are not able to effectively assess le...
Erin J. Lightman, Philip M. McCarthy, David F. Duf...
FLAIRS
2007
13 years 10 months ago
Mining Sequences in Distributed Sensors Data for Energy Production
The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...
Mehmed M. Kantardzic, John Gant
FLAIRS
2007
13 years 10 months ago
Improving Cluster Method Quality by Validity Indices
Clustering attempts to discover significant groups present in a data set. It is an unsupervised process. It is difficult to define when a clustering result is acceptable. Thus,...
Narjes Hachani, Habib Ounelli
FLAIRS
2007
13 years 10 months ago
Knowledge Transfer in Deep Convolutional Neural Nets
Knowledge transfer is widely held to be a primary mechanism that enables humans to quickly learn new complex concepts when given only small training sets. In this paper, we apply ...
Steven Gutstein, Olac Fuentes, Eric Freudenthal