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EDM
2009
147views Data Mining» more  EDM 2009»
14 years 7 months ago
Using Dirichlet priors to improve model parameter plausibility
Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better u...
Dovan Rai, Yue Gong, Joseph Beck
PROFES
2005
Springer
15 years 3 months ago
Mega Software Engineering
Abstract. In various fields of computer science, rapidly growing hardware power, such as high-speed network, high-performance CPU, huge disk capacity, and large memory space, has ...
Katsuro Inoue, Pankaj K. Garg, Hajimu Iida, Ken-ic...
JIIS
2006
103views more  JIIS 2006»
14 years 9 months ago
Time-focused clustering of trajectories of moving objects
Spatio-temporal, geo-referenced datasets are growing rapidly, and will be more in the near future, due to both technological and social/commercial reasons. From the data mining vie...
Mirco Nanni, Dino Pedreschi
MOBICOM
1999
ACM
15 years 2 months ago
Adaptive Protocols for Information Dissemination in Wireless Sensor Networks
In this paper, we present a family of adaptive protocols, called SPIN (Sensor Protocols for Information via Negotiation), that efficiently disseminates information among sensors ...
Wendi Rabiner Heinzelman, Joanna Kulik, Hari Balak...
ICDM
2010
IEEE
167views Data Mining» more  ICDM 2010»
14 years 7 months 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...