Sciweavers

387 search results - page 54 / 78
» The choice uncertainty principle
Sort
View
JCIT
2010
148views more  JCIT 2010»
13 years 2 months ago
Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
Mohammed J. Islam, Q. M. Jonathan Wu, Majid Ahmadi...
ICCV
2011
IEEE
12 years 8 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
PODC
1989
ACM
14 years 3 days ago
Knowledge, Probability, and Adversaries
: What should it mean for an agent to know or believe an assertion is true with probability :99? Di erent papers FH88, FZ88, HMT88] give di erent answers, choosing to use quite di ...
Joseph Y. Halpern, Mark R. Tuttle
IJON
1998
140views more  IJON 1998»
13 years 7 months ago
Comment on "Discrete-time recurrent neural network architectures: A unifying review"
Paper [1] aimed at providing a unified presentation of neural network architectures. We show in the present comment (i) that the canonical form of recurrent neural networks presen...
Léon Personnaz, Gérard Dreyfus
PROMAS
2004
Springer
14 years 1 months ago
Coordinating Teams in Uncertain Environments: A Hybrid BDI-POMDP Approach
Distributed partially observable Markov decision problems (POMDPs) have emerged as a popular decision-theoretic approach for planning for multiagent teams, where it is imperative f...
Ranjit Nair, Milind Tambe