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SAGA
2001
Springer
13 years 10 months ago
Stochastic Finite Learning
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...
Thomas Zeugmann
ICDE
2008
IEEE
129views Database» more  ICDE 2008»
14 years 7 months ago
Optimal Boolean Matrix Decomposition: Application to Role Engineering
Abstract-- A decomposition of a binary matrix into two matrices gives a set of basis vectors and their appropriate combination to form the original matrix. Such decomposition solut...
Haibing Lu, Jaideep Vaidya, Vijayalakshmi Atluri
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
11 years 8 months ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...
ICCAD
2004
IEEE
128views Hardware» more  ICCAD 2004»
14 years 2 months ago
Power estimation for cycle-accurate functional descriptions of hardware
— Cycle-accurate functional descriptions (CAFDs) are being widely adopted in integrated circuit (IC) design flows. Power estimation can potentially benefit from the inherent in...
Lin Zhong, Srivaths Ravi, Anand Raghunathan, Niraj...
IJHPCA
2008
131views more  IJHPCA 2008»
13 years 5 months ago
De Novo Ultrascale Atomistic Simulations On High-End Parallel Supercomputers
We present a de novo hierarchical simulation framework for first-principles based predictive simulations of materials and their validation on high-end parallel supercomputers and ...
Aiichiro Nakano, Rajiv K. Kalia, Ken-ichi Nomura, ...