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» Iterated importance sampling in missing data problems
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INFOCOM
2006
IEEE
13 years 11 months ago
The Internet Dark Matter - on the Missing Links in the AS Connectivity Map
Abstract— The topological structure of the Internet infrastructure is an important and interesting subject that attracted significant research attention in the last few years. A...
Rami Cohen, Danny Raz
SDM
2011
SIAM
284views Data Mining» more  SDM 2011»
12 years 8 months ago
The Network Completion Problem: Inferring Missing Nodes and Edges in Networks
While the social and information networks have become ubiquitous, the challenge of collecting complete network data still persists. Many times the collected network data is incomp...
Myunghwan Kim 0002, Jure Leskovec
IVC
2006
133views more  IVC 2006»
13 years 5 months ago
A subspace method for projective reconstruction from multiple images with missing data
In this paper, we consider the problem of projective reconstruction based on the subspace method. Unlike existing subspace methods which require that all the points are visible in...
W. K. Tang, Y. S. Hung
AAAI
2008
13 years 7 months 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...
NIPS
2004
13 years 6 months ago
A Second Order Cone programming Formulation for Classifying Missing Data
We propose a convex optimization based strategy to deal with uncertainty in the observations of a classification problem. We assume that instead of a sample (xi, yi) a distributio...
Chiranjib Bhattacharyya, Pannagadatta K. Shivaswam...