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AIPS
2011
12 years 11 months ago
Effective Heuristics and Belief Tracking for Planning with Incomplete Information
Conformant planning can be formulated as a path-finding problem in belief space where the two main challenges are the heuristics to guide the search, and the representation and u...
Alexandre Albore, Miquel Ramírez, Hector Ge...
CAIP
1999
Springer
157views Image Analysis» more  CAIP 1999»
13 years 11 months ago
Free-Form Surface Description in Multiple Scales: Extension to Incomplete Surfaces
A novel technique for multi-scale smoothing of a free-form 3-D surface is presented. Diffusion of the surface is achieved through convolutions of local parametrisations of the su...
Nasser Khalili, Farzin Mokhtarian, Peter Yuen
CORR
2010
Springer
255views Education» more  CORR 2010»
13 years 7 months ago
Scalable Tensor Factorizations for Incomplete Data
The problem of incomplete data--i.e., data with missing or unknown values--in multi-way arrays is ubiquitous in biomedical signal processing, network traffic analysis, bibliometri...
Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Mo...
EOR
2010
99views more  EOR 2010»
13 years 2 months ago
Expected gain-loss pricing and hedging of contingent claims in incomplete markets by linear programming
We analyze the problem of pricing and hedging contingent claims in the multi-period, discrete time, discrete state case using the concept of a sufficiently attractive expected gai...
Mustafa Ç. Pinar, Aslihan Salih, Ahmet Camc...
ICML
2005
IEEE
14 years 8 months ago
A model for handling approximate, noisy or incomplete labeling in text classification
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Ra...