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AAAI
2007
15 years 2 months ago
Near-optimal Observation Selection using Submodular Functions
AI problems such as autonomous robotic exploration, automatic diagnosis and activity recognition have in common the need for choosing among a set of informative but possibly expen...
Andreas Krause, Carlos Guestrin
96
Voted
ICANN
2010
Springer
15 years 1 months ago
Discovery of Exogenous Variables in Data with More Variables Than Observations
Many statistical methods have been proposed to estimate causal models in classical situations with fewer variables than observations. However, modern datasets including gene expres...
Yasuhiro Sogawa, Shohei Shimizu, Aapo Hyvärin...
122
Voted
UTP
2010
14 years 10 months ago
On Modelling User Observations in the UTP
This paper presents an approach for modelling interactions between users and systems in the Unifying Theories of Programming. Working in the predicate calculus, we outline generic ...
Michael J. Banks, Jeremy L. Jacob
92
Voted
NIPS
2007
15 years 1 months ago
Selecting Observations against Adversarial Objectives
In many applications, one has to actively select among a set of expensive observations before making an informed decision. Often, we want to select observations which perform well...
Andreas Krause, H. Brendan McMahan, Carlos Guestri...
TIT
2002
62views more  TIT 2002»
15 years 3 days ago
Maximum-likelihood binary shift-register synthesis from noisy observations
We consider the problem of estimating the feedback coefficients of a linear feedback shift register (LFSR) based on noisy observations. In the current approach, the coefficients a...
Todd K. Moon