Search Results - "Burges, C. J. C"

Adapting boosting for information retrieval measures by Wu, Qiang, Burges, Christopher J. C., Svore, Krysta M., Gao, Jianfeng

“…We present a new ranking algorithm that combines the strengths of two previous methods: boosted tree classification, and LambdaRank, which has been shown to be…”
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Distortion discriminant analysis for audio fingerprinting by Burges, C.J.C., Platt, J.C., Jana, S.

“…Mapping audio data to feature vectors for the classification, retrieval or identification tasks presents four principal challenges. The dimensionality of the…”
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Comparing support vector machines with Gaussian kernels to radial basis function classifiers by Scholkopf, B., Kah-Kay Sung, Burges, C.J.C., Girosi, F., Niyogi, P., Poggio, T., Vapnik, V.

“…The support vector (SV) machine is a novel type of learning machine, based on statistical learning theory, which contains polynomial classifiers, neural…”
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Input space versus feature space in kernel-based methods by Scholkopf, B., Mika, S., Burges, C.J.C., Knirsch, P., Muller, K.-R., Ratsch, G., Smola, A.J.

“…This paper collects some ideas targeted at advancing our understanding of the feature spaces associated with support vector (SV) kernel functions. We first…”
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Morphological components of Thynopirum ponticum tillers and their contribution to the diet of cattle grazing at contrasting herbage allowances by Romera, A.J., Burges, J.C., Gregorini, P., Agnusdei, M.G.

“…Tall wheatgrass (Thynopirum ponticum, Podp.) is a hardy cool season grass, which can offer nutritional and sward structural constraints to herbage DMI by…”
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Gravitational Aharonov-Bohm effect in three dimensions by BURGES, C. J. C

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Modelling spring and autumn calving systems in beef herds of the Salado region of Argentina by Romera, A.J., Burges, J.C., Morris, S.T., Hodgson, J., Woodward, S.J.R.

“…Spring calving is recommended for beef herds in the Salado region of Argentina, but autumn calving is an alternative being used by some farmers. This study…”
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Uniqueness theorems for kernel methods by Burges, Christopher J.C., Crisp, David J.

“…This paper has three goals: to find uniqueness theorems for some well-known kernel methods, and thereby to better understand their behavior; to derive theorems…”
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A Base Camp for Scaling AI by Burges, C. J. C, Hart, T, Yang, Z, Cucerzan, S, White, R. W, Pastusiak, A, Lewis, J

“…Modern statistical machine learning (SML) methods share a major limitation with the early approaches to AI: there is no scalable way to adapt them to new…”
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Adapting boosting for information retrieval measures: Learning To Rank For Information Retrieval by QIANG WU, BURGES, Christopher J. C, SVORE, Krysta M, JIANFENG GAO

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Extracting noise-robust features from audio data by Burges, Christopher J. C., Platt, John C., Jana, Soumya

“…A key problem faced by audio identification, classification, and retrieval systems is the mapping of high-dimensional audio input data into informative…”
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Comparing support vector machines with Gaussian kernels to radial basis function classifiers: Neural networks by SCHÖLKOPF, B, SUNG, K.-K, BURGES, C. J. C, GIROSI, F, NIYOGI, P, POGGIO, T, VAPNIK, V

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Relations World: A Possibilistic Graphical Model by Burges, Christopher J. C, Renshaw, Erin, Pastusiak, Andrzej

“…We explore the idea of using a "possibilistic graphical model" as the basis for a world model that drives a dialog system. As a first step we have developed a…”
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Semisupervised Learning for Computational Linguistics by Burges, Chris J. C.

“…Burges reviews Semisupervised Learning for Computational Linguistics by Steven Abney…”
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Reading handwritten digits: a ZIP code recognition system by Matan, O., Baird, H.S., Bromley, J., Burges, C.J.C., Denker, J.S., Jackel, L.D., Le Cun, Y., Pednault, E.P.D., Satterfield, W.D., Stenard, C.E., Thompson, T.J.

“…A neural network algorithm-based system that reads handwritten ZIP codes appearing on real US mail is described. The system uses a recognition-based segmenter,…”
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Input space versus feature space in kernel-based methods : Vapnik-Chervonekis (VC) learning theory and its applications by SCHÖLKOPF, B, MIKA, S, BURGES, C. J. C, KNIRSCH, P, MÜLLER, K.-R, RÄTSCH, G, SMOLA, A. J

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