Qualitative decision methods for multi-attribute decision making
A Agrawal - arXiv preprint arXiv:1508.00879, 2015 - arxiv.org
The fundamental problem underlying all multi-criteria decision analysis (MCDA) problems is
that of dominance between any two alternatives:" Given two alternatives A and B, each …
that of dominance between any two alternatives:" Given two alternatives A and B, each …
Running map inference on million node graphical models: A high performance computing perspective
An important problem in discrete graphical models is the maximum a posterior (MAP)
inference problem. Recent research has been focusing on the development of parallel MAP …
inference problem. Recent research has been focusing on the development of parallel MAP …
Learning thresholds for PV change detection from operators' labels
Page Views (PVs) are very crucial for search engines due to their close relationship to the
revenue. When PVs change significantly, operators must be informed so that they can …
revenue. When PVs change significantly, operators must be informed so that they can …
Efficient inference algorithms for some probabilistic graphical models
Q Fu - 2014 - search.proquest.com
The probabilistic graphical model framework provides an essential tool to reason coherently
from limited and noisy observations. The framework has been used in an enormous range of …
from limited and noisy observations. The framework has been used in an enormous range of …
Large Scale Optimization for Machine Learning
H Wang - 2014 - search.proquest.com
Over the last several decades, tremendous tools have been developed in machine learning,
ranging from statistical models to scalable algorithms, from learning strategies to various …
ranging from statistical models to scalable algorithms, from learning strategies to various …