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AAAI
2008
14 years 12 days ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
SIGMOD
2010
ACM
224views Database» more  SIGMOD 2010»
13 years 10 months ago
GDR: a system for guided data repair
Improving data quality is a time-consuming, labor-intensive and often domain specific operation. Existing data repair approaches are either fully automated or not efficient in int...
Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Nevi...
TSE
2010
155views more  TSE 2010»
13 years 8 months ago
A Comparison of Six UML-Based Languages for Software Process Modeling
— Describing and managing activities, resources and constraints of software development processes is a challenging goal for many organizations. A first generation of Software Pro...
Reda Bendraou, Jean-Marc Jézéquel, M...
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 2 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
TVCG
2012
191views Hardware» more  TVCG 2012»
12 years 15 days ago
Facial Performance Transfer via Deformable Models and Parametric Correspondence
—The issue of transferring facial performance from one person’s face to another’s has been an area of interest for the movie industry and the computer graphics community for ...
Akshay Asthana, Miles de la Hunty, Abhinav Dhall, ...