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» Generalizing over Several Learning Settings
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118
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GROUP
2005
ACM
15 years 8 months ago
Instant messaging bots: accountability and peripheral participation for textual user interfaces
Over the last several years, studies of instant messaging have observed its increasing role in the workplace[1] and in social situations[2]. We propose that modifying applications...
Stephen Chan, Benjamin Hill, Sarita Yardi
146
Voted
JAIR
2010
145views more  JAIR 2010»
15 years 1 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint
108
Voted
ICDM
2010
IEEE
167views Data Mining» more  ICDM 2010»
15 years 21 days ago
Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori...
149
Voted
CVPR
2012
IEEE
13 years 5 months ago
Weak attributes for large-scale image retrieval
Attribute-based query offers an intuitive way of image retrieval, in which users can describe the intended search targets with understandable attributes. In this paper, we develop...
Felix X. Yu, Rongrong Ji, Ming-Hen Tsai, Guangnan ...
136
Voted
EDO
2006
Springer
15 years 6 months ago
Tailoring an architectural middleware platform to a heterogeneous embedded environment
Embedded systems are rapidly growing in size, complexity, distribution, and heterogeneity. As a result, the traditional practice of developing one-off embedded applications that a...
Sam Malek, Chiyoung Seo, Nenad Medvidovic