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BMCBI
2010
113views more  BMCBI 2010»
14 years 10 months ago
Class prediction for high-dimensional class-imbalanced data
Background: The goal of class prediction studies is to develop rules to accurately predict the class membership of new samples. The rules are derived using the values of the varia...
Rok Blagus, Lara Lusa
ROBOCUP
1999
Springer
113views Robotics» more  ROBOCUP 1999»
15 years 2 months ago
11Monkeys Description
The major purpose of our research is to study cooperative planning for multi-agent system in time-critical environment. The RoboCup simulator league is the most interesting target ...
Shuhei Kinoshita, Yoshikazu Yamamoto
AAAI
2006
14 years 11 months ago
Computing Slater Rankings Using Similarities among Candidates
Voting (or rank aggregation) is a general method for aggregating the preferences of multiple agents. One important voting rule is the Slater rule. It selects a ranking of the alte...
Vincent Conitzer
AAMAS
2012
Springer
13 years 5 months ago
Winner determination in voting trees with incomplete preferences and weighted votes
In multiagent settings where agents have different preferences, preference aggregation can be an important issue. Voting is a general method to aggregate preferences. We consider ...
Jérôme Lang, Maria Silvia Pini, Franc...
ICML
1999
IEEE
15 years 10 months ago
The Alternating Decision Tree Learning Algorithm
The applicationofboosting procedures to decision tree algorithmshas been shown to produce very accurate classi ers. These classiers are in the form of a majority vote over a numbe...
Yoav Freund, Llew Mason