F27DB Introduction to Database Systems Dr. Helen Hastie, h.hastie@hw.ac.uk Room: LT2 Material available on Vision Vision (modified from Monica Farrow s s)
Linear Regression Models Based on Chapter 3 of Hastie, Tibshirani and Friedman Linear Regression Models Least Squares Gauss-Markov Theorem bias-variance Too Many ...
Robert Tibshirani, Guenther Walther and Trevor Hastie. J.R. Statist. Soc. ... 50 observations from each of two bivariate normal populations with means (0,0) ...
The Elements of Statistical Learning. Hastie, Tibshirani, Friedman ... Taming Text : An Introduction to Text Mining. Louise Francis. Text Mining. Weiss et al ...
Derivation from minimizing the sum of squares. Probabilistic interpretation ... Bradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani,'Least Angle ...
Following the SVM regularization path algorithm (Hastie et al., 2005), the ... SVM Regularization Path (4) ... Regularization is changing and the cost ...
PCA. Most popular multi-variate data analysis method. Basis for regression modesl(PLS, PCR, etc) ... Non-linear PCA(1) Principal curve(Hastie et al. 1989) ...
Hastie et al. Genome Biology 2000 1(2) http://genomebiology.com/2000/1/2/research/0003 ... Regarding the samples as data points, do a PCA analysis to the dataset. ...
Brigham Anderson, Andrew Moore, Dan Pelleg, Alex Gray, Bob Nichols, ... see Hastie et al or Duda, Hart & Stork books , or www.cs.cmu.edu/~awm/tutorials/gmm.html ...
Cross Validation of SVMs for Acoustic Feature Classification using Entire Regularization Path ... Can use entire regularization path of SVM to find optimal C ...
90th Quantile of the PDI distribution. Standard error (DELTA method) Model fit ... Computation of GEV 90th quantile (VGAM and VGLM) GRIDPOINTS GEV PARAMETERS ...
Clustering microarray data 09/26/07 Overview Clustering is an unsupervised learning clustering is used to build groups of genes with related expression patterns.
1024-dimensional principal component 32X32 spectrogram, plot as an image: 1st principal component (not shown) measures total energy of the spectrogram ...
Department of Computer Science and Engineering. Arizona State University ... In majority of experiments, 0 is in the confidence interval, meaning the ...
Often, number of mixture components, K, chosen arbitrarily, so we ... Is the downfall of AutoMix for this application. April 20, 2006. Daniel Eaton. 12. Results ...
Palazzo Versace and D1 commenced. Business Bay. White Bay. Sunland what we like ... development with exclusive global license to build Palazzo Versace buildings ...
predicting a person's weight may depend on different attributes than predicting their IQ ... All algs so far are strict averagers: interpolate, but can't extrapolate ...
Fully electronic (no collation ... Main Changes to LIEF Funding Rules ... LIEF will be available shortly. For further assistance with scheme matters, contact: ...
Multi-potent neuronal cells treated with CNTF differentiate into astrocytes. ... Data are very sensitive to normalization technique...choose cautiously ...
1. Learning the topology of a data set. Micha l Aupetit ... we convolve the components by an isotropic Gaussian noise. we associate to each component ...
Called distribution-free. PAC Bounds: Problems. The PAC bound is ... Results in good feature weights. Regularized Log-linear Models. Regularization = smoothing ...
We want a machine to be able to identify thousands of ... Bookshelf. Desk. Screen. Desired detector outputs: One patch. Need to detect as well as to recognize ...
Sharing features for. multi ... to improve generalization, share features. ... variation on boosting that allows for sharing features in a natural way. ...
Dimension Augmenting Vector Machine (DAVM): A new General Classifier System for ... Classification is a supervised ... ( e.g. Elastic Net, Fussed Lasso) ...
Neural methods for non-standard data. Barbara Hammer, University of ... diffusion kernel [Kondor/Lafferty, Lafferty/Lebanon, Vert/Kanehisa] expansion via matrix ...
Create KrasLA mouse model: Mice with sporadically activated Kras2 through ... Mice develop lung adenoma ... Mouse tumor from KrasLA and NNK model were not ...
Resurgence of collective constructs (e.g., norms, conventions, ... Hunted game (peccary, monkey, deer) Communal-sharing including non-family members widely ...
4. Decision making theory. By the end of this session you will be able to ... has preconvictions as a juvenile one for dangerous driving and one for affray. ...
and more generally cost(i,j) is a matrix of K x K losses (e.g., surgery, spam email, etc) ... Requires fast lookup at run-time to do classification with large n ...
Edelsbrunner and Shah (1997) which proved that given a manifold and a set of N ... Edelsbrunner and Shah (1997) which proved that given a manifold and a set of N ...
We have to be able to measure similarity or dissimilarity in ... How we measure distance can have a profound effect on the performance of ... Stork (2001) ...
Go through all PID variables and find best variable and value to split events. ... Assume an equal weight of signal and background training events. ...
Classification Yan Pan Some Popular Kernels Linear : K(xi,xj) = xit -1xj Polynomial : K(xi,xj) = (xit -1xj + c)d Gaussian (RBF) : K(xi,xj) = exp( k k(xik ...
preserve (augmented) discriminant information. Variables with between group differences ... Report No. 31 (available at http://mbi.osu.edu/publications/pub2005.html) ...
Penalized Likelihood. Independent Laplace priors give this not so intuitive ... Higher prior variance = less penalization. We used: C is tuning constant ...
Presented to: Professor Angela Henderson. Submitted by: Carlos Lopez, Krystal Parks, ... Moral judgment is an assessment of someone or something is either positive or ...