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» The Parameterized Complexity of Some Minimum Label Problems
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110
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PKDD
2009
Springer
153views Data Mining» more  PKDD 2009»
15 years 7 months ago
Subspace Regularization: A New Semi-supervised Learning Method
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-L...
INFOCOM
2002
IEEE
15 years 5 months ago
Restoration Algorithms for Virtual Private Networks in the Hose Model
—A Virtual Private Network (VPN) aims to emulate the services provided by a private network over the shared Internet. The endpoints of e connected using abstractions such as Virt...
Giuseppe F. Italiano, Rajeev Rastogi, Bülent ...
PKDD
2005
Springer
129views Data Mining» more  PKDD 2005»
15 years 6 months ago
Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Mining
Abstract. The paradigm of pattern discovery based on constraints was introduced with the aim of providing to the user a tool to drive the discovery process towards potentially inte...
Stefano Bistarelli, Francesco Bonchi
NIPS
2000
15 years 1 months ago
Learning Continuous Distributions: Simulations With Field Theoretic Priors
Learning of a smooth but nonparametric probability density can be regularized using methods of Quantum Field Theory. We implement a field theoretic prior numerically, test its eff...
Ilya Nemenman, William Bialek
88
Voted
APSEC
2006
IEEE
15 years 6 months ago
Genericity - a "Missing in Action" Key to Software Simplification and Reuse
We hypothesize that certain program complexities and difficulties to realize reuse potentials have their roots in weak mechanisms for generic design of today’s programming techn...
Stan Jarzabek