307 search results - page 43 / 62 » Significance of Classification Techniques in Prediction of L... |
197
click to vote
BIOCOMP
2007
15 years 7 months ago
2007
The growing body of DNA microarray data has the potential to advance our understanding of the molecular basis of disease. However annotating microarray datasets with clinically us...
190
click to vote
TNN
2010
15 years 20 days ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
183
click to vote
UAI
2008
15 years 7 months ago
2008
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Ba...
174
click to vote
ICML
2005
IEEE
16 years 6 months ago
2005
IEEE
Naive Bayes is an effective and efficient learning algorithm in classification. In many applications, however, an accurate ranking of instances based on the class probability is m...
163
click to vote
ML
2008
ACM
15 years 5 months ago
2008
ACM
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...