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NIPS
1998
13 years 11 months ago
Semi-Supervised Support Vector Machines
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...
Kristin P. Bennett, Ayhan Demiriz
IJCAI
1989
13 years 11 months ago
An Approximate Solver for Symbolic Equations
This paper describes a program, called NEWTON, that finds approximate symbolic solutions to parameterized equations in one variable. N E W T O N derives an initial approximation b...
Elisha Sacks
CORR
2010
Springer
135views Education» more  CORR 2010»
13 years 10 months ago
The Power of Nondeterminism in Self-Assembly
tigate the role of nondeterminism in Winfree's abstract Tile Assembly Model (aTAM), which was conceived to model artificial molecular self-assembling systems constructed from...
Nathaniel Bryans, Ehsan Chiniforooshan, David Doty...
EM
2010
155views Management» more  EM 2010»
13 years 10 months ago
Hyperbolic Graphs of Small Complexity
In this paper we enumerate and classify the "simplest" pairs (M, G) where M is a closed orientable 3-manifold and G is a trivalent graph embedded in M. To enumerate the p...
Damian Heard, Craig Hodgson, Bruno Martelli, Carlo...
BMCBI
2006
118views more  BMCBI 2006»
13 years 10 months ago
Djinn Lite: a tool for customised gene transcript modelling, annotation-data enrichment and exploration
Background: There is an ever increasing rate of data made available on genetic variation, transcriptomes and proteomes. Similarly, a growing variety of bioinformatic programs are ...
Erdahl T. Teber, Edward Crawford, Kent B. Bolton, ...