Publications associées à Ronald Aylmer Fisher

The SDSS-IV eBOSS: emission line galaxy catalogues at z approximate to 0.8 and study of systematic errors in the angular clustering

Jean-Paul Richard Kneib, Johan Comparat, Anand Stéphane Raichoor, Xiaoqing Zhou, Timothée Guy Olivier Delubac

We present two wide-field catalogues of photometrically selected emission line galaxies (ELGs) at z approximate to 0.8 covering about 2800 deg(2)over the south galactic cap. The catalogues were obtained using a Fisher discriminant technique described in a ...

Oxford Univ Press2017

Detecting and Quantifying Changing Selection Intensities from Time-Sampled Polymorphism Data

Jeffrey David Jensen, Matthieu Foll, Sebastian Matuszewski, Hyunjin Shim, Stefan Jean Laurent

During his well-known debate with Fisher regarding the phenotypic dataset of Panaxia dominula, Wright suggested fluctuating selection as a potential explanation for the observed change in allele frequencies. This model has since been invoked in a number of ...

Genetics Society of America2016

An Approximate Markov Model for the Wright-Fisher Diffusion and Its Application to Time Series Data

Jeffrey David Jensen, Anna Ferrer Admetlla

The joint and accurate inference of selection and demography from genetic data is considered a particularly challenging question in population genetics, since both process may lead to very similar patterns of genetic diversity. However, additional informat ...

Genetics Society America2016

WFABC: a Wright-Fisher ABC-based approach for inferring effective population sizes and selection coefficients from time-sampled data

Jeffrey David Jensen, Hyunjin Shim, Matthieu Foll

With novel developments in sequencing technologies, time-sampled data are becoming more available and accessible. Naturally, there have been efforts in parallel to infer population genetic parameters from these data sets. Here, we compare and analyse four ...

Wiley-Blackwell2015

Inverse Solutions for Brain Computer Interface

José del Rocio Millán Ruiz, Mohit Kumar Goel

Inverse solution allows to estimate sources that generate a given scalp EEG topography. Recently, it has been used in Brain Computer Interfaces (BCIs) to extract robust features based on the hypothesis that projection onto the source space (high dimensiona ...

EPFL2013

Competing islands limit the rate of adaptation in structured populations

Cornelia Pokalyuk

Beneficial mutations can co-occur when population structure slows down adaptation. Here, we consider the process of adaptation in asexual populations distributed over several locations ("islands"). New beneficial mutations arise at constant rate u(b), and ...

Elsevier2013

Emerging predictable features of replicated biological invasion fronts

Andrea Rinaldo, Andrea Giometto, Francesco Carrara, Florian Altermatt

Biological dispersal shapes species' distribution and affects their coexistence. The spread of organisms governs the dynamics of invasive species, the spread of pathogens, and the shifts in species ranges due to climate or environmental change. Despite its ...

National Academy of Sciences2013

A Multi-class Classification Strategy for Fisher Scores: Application to Signer Independent Sign Language Recognition

Oya Aran

Fisher kernels combine the powers of discriminative and generative classifiers by mapping the variable-length sequences to a new fixed length feature space, called the Fisher score space. The mapping is based on a single generative model and the classifier ...

2010

Fisher Kernels and Probabilistic Latent Semantic Models

Emmanuel Eckard

Tasks that rely on semantic content of documents, notably Information Retrieval and Document Classification, can benefit from a good account of document context, i.e. the semantic association between documents. To this effect, the scheme of latent semantic ...

EPFL2010

Multi-system biometric authentication : optimal fusion and user-specific information

Norman Hoon Thian Poh

Verifying a person's identity claim by combining multiple biometric systems (fusion) is a promising solution to identity theft and automatic access control. This thesis contributes to the state-of-the-art of multimodal biometric fusion by improving the und ...

EPFL2007