DIS
2006
Springer
15 years 6 months ago
2006
Springer
This paper introduces a new family of string classifiers based on local relatedness. We use three types of local relatedness measurements, namely, longest common substrings (LCStr&...
116
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DIS
2006
Springer
15 years 6 months ago
2006
Springer
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
125
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DIS
2006
Springer
15 years 6 months ago
2006
Springer
One of the primary goals in discovery science is to understand the human scientific reasoning processes. Despite sporadic success of automated discovery systems, few studies have s...
106
click to vote
DIS
2006
Springer
15 years 6 months ago
2006
Springer
We study the combination of Kalman filter and a recently proposed algorithm for dynamically maintaining a sliding window, for learning from streams of examples. We integrate this i...
DIM
2006
ACM
15 years 6 months ago
2006
ACM