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ECAI
2006
Springer
13 years 11 months ago
Possibilistic Influence Diagrams
Abstract. In this article we present the framework of Possibilistic Influence Diagrams (PID), which allow to model in a compact form problems of sequential decision making under un...
Laurent Garcia, Régis Sabbadin
SIGSOFT
2006
ACM
14 years 1 months ago
Bit level types for high level reasoning
Bitwise operations are commonly used in low-level systems code to access multiple data fields that have been packed into a single word. Program analysis tools that reason about s...
Ranjit Jhala, Rupak Majumdar
CIE
2005
Springer
13 years 9 months ago
Shrad: A Language for Sequential Real Number Computation
Since Di Gianantonio [1993] introduced his semantics for exact real omputation, there has always been a struggle to maintain data abstraction and efficiency as much as possible. T...
Amin Farjudian
IJCAI
2007
13 years 9 months ago
Learning from Partial Observations
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
Loizos Michael
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
11 years 10 months ago
Web image prediction using multivariate point processes
In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...
Gunhee Kim, Fei-Fei Li, Eric P. Xing