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» Generality Is Predictive of Prediction Accuracy
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WWW
2010
ACM
15 years 4 months ago
Cross-domain sentiment classification via spectral feature alignment
Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of users publishing sentiment data (e.g., reviews, blogs). Although traditio...
Sinno Jialin Pan, Xiaochuan Ni, Jian-Tao Sun, Qian...
BMCBI
2010
229views more  BMCBI 2010»
15 years 4 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
137
Voted
BMCBI
2008
122views more  BMCBI 2008»
15 years 4 months ago
Grammar-based distance in progressive multiple sequence alignment
Background: We propose a multiple sequence alignment (MSA) algorithm and compare the alignment-quality and execution-time of the proposed algorithm with that of existing algorithm...
David J. Russell, Hasan H. Otu, Khalid Sayood
BMCBI
2008
188views more  BMCBI 2008»
15 years 4 months ago
anNET: a tool for network-embedded thermodynamic analysis of quantitative metabolome data
Background: Compared to other omics techniques, quantitative metabolomics is still at its infancy. Complex sample preparation and analytical procedures render exact quantification...
Nicola Zamboni, Anne Kümmel, Matthias Heinema...
CORR
2006
Springer
109views Education» more  CORR 2006»
15 years 4 months ago
On Conditional Branches in Optimal Decision Trees
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...
Michael B. Baer