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» Optimization on Support Vector Machines
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FLAIRS
2004
15 years 16 days ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
COLT
2006
Springer
15 years 2 months ago
Logarithmic Regret Algorithms for Online Convex Optimization
In an online convex optimization problem a decision-maker makes a sequence of decisions, i.e., chooses a sequence of points in Euclidean space, from a fixed feasible set. After ea...
Elad Hazan, Adam Kalai, Satyen Kale, Amit Agarwal
105
Voted
HCW
1998
IEEE
15 years 3 months ago
Modular Heterogeneous System Development: A Critical Analysis of Java
Java supports heterogeneous applications by transforming a heterogeneous network of machines into a homogeneous network of Java virtual machines. This abstracts over many of the c...
Gul Agha, Mark Astley, Jamil A. Sheikh, Carlos A. ...
139
Voted
LISP
2002
135views more  LISP 2002»
14 years 10 months ago
Optimizing Nested Loops Using Local CPS Conversion
Abstract. Local CPS conversion is a compiler transformation for improving the code generated for nested loops by a direct-style compiler that uses recursive functions to represent ...
John H. Reppy
BMCBI
2010
113views more  BMCBI 2010»
14 years 11 months ago
Improving performance of mammalian microRNA target prediction
Background: MicroRNAs (miRNAs) are single-stranded non-coding RNAs known to regulate a wide range of cellular processes by silencing the gene expression at the protein and/or mRNA...
Hui Liu, Dong Yue, Yidong Chen, Shou-Jiang Gao, Yu...