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ICDM
2007
IEEE
162views Data Mining» more  ICDM 2007»
13 years 12 months ago
Exploiting Network Structure for Active Inference in Collective Classification
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
Matthew J. Rattigan, Marc Maier, David Jensen, Bin...
CORR
2010
Springer
153views Education» more  CORR 2010»
13 years 8 months ago
Towards Parameterized Regular Type Inference Using Set Constraints
We propose a method for inferring parameterized regular types for logic programs as solutions for systems of constraints over sets of finite ground Herbrand terms (set constraint s...
Francisco Bueno, Jorge A. Navas, Manuel V. Hermene...
CORR
2008
Springer
104views Education» more  CORR 2008»
13 years 8 months ago
A Variational Inference Framework for Soft-In-Soft-Out Detection in Multiple Access Channels
We propose a unified framework for deriving and studying soft-in soft-out (SISO) detection in multiple-access channels using the concept of variational inference. The proposed fram...
Darryl Dexu Lin, Teng Joon Lim
COMPGEOM
2008
ACM
13 years 10 months ago
Maximum thick paths in static and dynamic environments
We consider the problem of finding a maximum number of disjoint paths for unit disks moving amidst static or dynamic obstacles. For the static case we give efficient exact algorit...
Esther M. Arkin, Joseph S. B. Mitchell, Valentin P...
CODES
2004
IEEE
13 years 12 months ago
Facilitating reuse in hardware models with enhanced type inference
High-level hardware modeling is an essential, yet time-consuming, part of system design. However, effective component-based reuse in hardware modeling languages can reduce model c...
Manish Vachharajani, Neil Vachharajani, Sharad Mal...