1414 search results - page 150 / 283 » Randomness and Universal Machines |
99
Voted
WEBI
2007
Springer
15 years 6 months ago
2007
Springer
In this paper, we investigate the emotion classification of web blog corpora using support vector machine (SVM) and conditional random field (CRF) machine learning techniques. The...
109
Voted
SEFM
2005
IEEE
15 years 6 months ago
2005
IEEE
The development of test cases is an important issue for testing software, communication protocols and other reactive systems. A number of methods are known for the development of ...
IWANN
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
116
click to vote
ICML
2004
IEEE
15 years 6 months ago
2004
IEEE
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
95
Voted
ICANN
2009
Springer
15 years 5 months ago
2009
Springer
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...