128 search results - page 21 / 26 » A New Machine Learning Based Approach for Sentiment Classifi... |
ADBIS
1999
Springer
13 years 11 months ago
1999
Springer
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...
CIKM
2005
Springer
13 years 8 months ago
2005
Springer
This paper presents a new pooling method for constructing the assessment sets used in the evaluation of retrieval systems. Our proposal is based on RankBoost, a machine learning v...
CIKM
2008
Springer
13 years 8 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
FLAIRS
2010
13 years 9 months ago
2010
Nowadays, graph-based knowledge discovery algorithms do not consider numeric attributes (they are discarded in the preprocessing step, or they are treated as alphanumeric values w...
VLDB
2004
ACM
14 years 2 days ago
2004
ACM
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many f...