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101
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KDD
2003
ACM
150views Data Mining» more  KDD 2003»
16 years 25 days ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
87
Voted
PAMI
2008
146views more  PAMI 2008»
15 years 11 days 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
102
Voted
AINA
2006
IEEE
15 years 2 months ago
Distributed Tuning Attempt Probability for Data Gathering in Random Access Wireless Sensor Networks
In this paper, we study the problem of data gathering in multi-hop wireless sensor networks. To tackle the high degree of channel contention and high probability of packet collisi...
Haibo Zhang, Hong Shen
119
Voted
WSC
2008
15 years 2 months ago
Efficient simulation for tail probabilities of Gaussian random fields
We are interested in computing tail probabilities for the maxima of Gaussian random fields. In this paper, we discuss two special cases: random fields defined over a finite number...
Robert J. Adler, Jose Blanchet, Jingchen Liu
ACL
1998
15 years 1 months ago
Using Decision Trees to Construct a Practical Parser
This paper describes novel and practical Japanese parsers that uses decision trees. First, we construct a single decision tree to estimate modification probabilities; how one phra...
Masahiko Haruno, Satoshi Shirai, Yoshifumi Ooyama