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» Evaluating learning algorithms and classifiers
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AAAI
2011
12 years 8 months ago
Tree Sequence Kernel for Natural Language
We propose Tree Sequence Kernel (TSK), which implicitly exhausts the structure features of a sequence of subtrees embedded in the phrasal parse tree. By incorporating the capabili...
Jun Sun, Min Zhang, Chew Lim Tan
SIGCOMM
2005
ACM
14 years 2 months ago
On the predictability of large transfer TCP throughput
Predicting the throughput of large TCP transfers is important for a broad class of applications. This paper focuses on the design, empirical evaluation, and analysis of TCP throug...
Qi He, Constantinos Dovrolis, Mostafa H. Ammar
MM
2004
ACM
106views Multimedia» more  MM 2004»
14 years 2 months ago
Phrase structure detection in dance
This paper deals with phrase structure detection in contemporary western dance. Phrases are a sequence of movements that exist at semantic abstraction than gestures. The problem i...
Vidyarani M. Dyaberi, Hari Sundaram, Jodi James, G...
BMCBI
2007
106views more  BMCBI 2007»
13 years 9 months ago
Improved classification accuracy in 1- and 2-dimensional NMR metabolomics data using the variance stabilising generalised logari
Background: Classifying nuclear magnetic resonance (NMR) spectra is a crucial step in many metabolomics experiments. Since several multivariate classification techniques depend up...
Helen M. Parsons, Christian Ludwig, Ulrich L. G&uu...
DSP
2008
13 years 7 months ago
On statistical approaches to target silhouette classification in difficult conditions
In this paper we present a methodical evaluation of the performance of a new and two traditional approaches to automatic target recognition (ATR) based on silhouette representatio...
Conrad Sanderson, Danny Gibbins, Stephen Searle