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JMLR
2010
151views more  JMLR 2010»
15 years 22 days ago
Understanding the difficulty of training deep feedforward neural networks
Whereas before 2006 it appears that deep multilayer neural networks were not successfully trained, since then several algorithms have been shown to successfully train them, with e...
Xavier Glorot, Yoshua Bengio
WADS
1989
Springer
84views Algorithms» more  WADS 1989»
15 years 10 months ago
Skip Lists: A Probabilistic Alternative to Balanced Trees
rees can be used for representing abstract data types such as dictionaries and ordered lists. They work well when the elements are inserted in a random order. Some sequences of ope...
William Pugh
HRI
2010
ACM
16 years 13 days ago
Judging a bot by its cover: an experiment on expectation setting for personal robots
—Managing user expectations of personal robots becomes particularly challenging when the end-user just wants to know what the robot can do, and neither understands nor cares abou...
Steffi Paepcke, Leila Takayama
KDD
2001
ACM
164views Data Mining» more  KDD 2001»
16 years 6 months ago
Data mining criteria for tree-based regression and classification
This paper is concerned with the construction of regression and classification trees that are more adapted to data mining applications than conventional trees. To this end, we pro...
Andreas Buja, Yung-Seop Lee
HRI
2006
ACM
15 years 12 months ago
Effects of adaptive robot dialogue on information exchange and social relations
Human-robot interaction could be improved by designing robots that engage in adaptive dialogue with users. An adaptive robot could estimate the information needs of individuals an...
Cristen Torrey, Aaron Powers, Matthew Marge, Susan...