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» Knowledge States: A Tool for Randomized Online Algorithms
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AMC
2007
91views more  AMC 2007»
13 years 8 months ago
Deterministic and random synthesis of discrete chaos
In this paper, two anticontrol algorithms for synthesis of discrete chaos are introduced. In these algorithms, the control parameter of a discrete dynamical system is switched, ei...
Miguel Romera, Michael Small, Marius-F. Danca
SAC
2005
ACM
14 years 2 months ago
Reinforcement learning agents with primary knowledge designed by analytic hierarchy process
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
Kengo Katayama, Takahiro Koshiishi, Hiroyuki Narih...
ACL
2012
11 years 10 months ago
Sentence Dependency Tagging in Online Question Answering Forums
Online forums are becoming a popular resource in the state of the art question answering (QA) systems. Because of its nature as an online community, it contains more updated knowl...
Zhonghua Qu, Yang Liu
PAMI
2008
146views more  PAMI 2008»
13 years 8 months ago
Optimal Randomized RANSAC
A randomized model verification strategy for RANSAC is presented. The proposed method finds, like RANSAC, a solution that is optimal with user-specified probability. The solution i...
Ondrej Chum, Jiri Matas
IROS
2009
IEEE
163views Robotics» more  IROS 2009»
14 years 3 months ago
On the performance of random linear projections for sampling-based motion planning
— Sampling-based motion planners are often used to solve very high-dimensional planning problems. Many recent algorithms use projections of the state space to estimate properties...
Ioan Alexandru Sucan, Lydia E. Kavraki