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179
Voted
ICDE
2009
IEEE
15 years 11 months ago
2009
IEEE
Traditional decision tree classifiers work with data whose values are known and precise. We extend such classifiers to handle data with uncertain information, which originates from...
69
Voted
ACL
2006
14 years 11 months ago
2006
This paper describes an ongoing effort to parse the Hebrew Bible. The parser consults the bracketing information extracted from the cantillation marks of the Masoetic text. We fir...
72
Voted
AMAI
2008
Springer
14 years 9 months ago
2008
Springer
This paper discusses the problem of building efficient coverage paths for a team of robots. An efficient multi-robot coverage algorithm should result in a coverage path for every ...
74
Voted
ACL
1998
14 years 11 months ago
1998
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...
IJCAI
1989
14 years 10 months ago
1989
A new decision tree learning algorithm called IDX is described. More general than existing algorithms, IDX addresses issues of decision tree quality largely overlooked in the arti...