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» A Two-Level Approach to Making Class Predictions
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SSDBM
2006
IEEE
163views Database» more  SSDBM 2006»
15 years 3 months ago
ACache: Using Caching to Improve the Performance of Multiple Sequence Alignments
Multiple sequence alignment represents a class of powerful bioinformatics tools with many uses in computational biology ranging from discovery of characteristic motifs and conserv...
Xun Tu, Kajal T. Claypool, Cindy X. Chen
ECML
2007
Springer
15 years 1 months ago
Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
Anneleen Van Assche, Hendrik Blockeel
LREC
2010
206views Education» more  LREC 2010»
14 years 11 months ago
Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain
In this paper we evaluate the performance of multilabel classification algorithms on the EUR-Lex database of legal documents of the European Union. On the same set of underlying d...
Eneldo Loza Mencía, Johannes Fürnkranz
77
Voted
KDD
2007
ACM
167views Data Mining» more  KDD 2007»
15 years 10 months ago
Generalized component analysis for text with heterogeneous attributes
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
Xuerui Wang, Chris Pal, Andrew McCallum

Publication
351views
16 years 9 months ago
Synthesizable High Level Hardware Descriptions
Modern hardware description languages support code-generation constructs like generate/endgenerate in Verilog. These constructs are intended to describe regular or parameterized ha...
Jennifer Gillenwater, Gregory Malecha, Cherif Sala...