593 search results - page 55 / 119 » Optimizing Complex Loss Functions in Structured Prediction |
CORR
2006
Springer
13 years 9 months ago
2006
Springer
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...
BMCBI
2004
13 years 9 months ago
2004
Background: In a previous paper, we introduced MUSCLE, a new program for creating multiple alignments of protein sequences, giving a brief summary of the algorithm and showing MUS...
JMLR
2006
13 years 9 months ago
2006
We discuss the problem of learning to rank labels from a real valued feedback associated with each label. We cast the feedback as a preferences graph where the nodes of the graph ...
SIGMOD
2003
ACM
14 years 9 months ago
2003
ACM
One of the critical deficiencies of SQL is lack of support for ndimensional array-based computations which are frequent in OLAP environments. Relational OLAP (ROLAP) applications ...
KDD
2008
ACM
14 years 9 months ago
2008
ACM
Multi-label problems arise in various domains such as multitopic document categorization and protein function prediction. One natural way to deal with such problems is to construc...