Neural networks for pattern recognition
From the Publisher: This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the bas...
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Qualitative inquiry and research design: choosing among five traditions.
This book explores the philosophical underpinnings, history and key elements of five qualitative inquiry traditions: biography, phenomenology, grounded theory, ethnography and c...
An integrated encyclopedia of DNA elements in the human genome
The human genome encodes the blueprint of life, but the function of the vast majority of its nearly three billion bases is unknown. The Encyclopedia of DNA Elements (ENCODE) pro...
Hierarchical Grouping to Optimize an Objective Function
Abstract A procedure for forming hierarchical groups of mutually exclusive subsets, each of which has members that are maximally similar with respect to specified characteristic...
Qualitative research and case study applications in education
THE DESIGN OF QUALITATIVE RESEARCH. 1. What is Qualitative Research? 2. Case Studies as Qualtitative Research. 3. Designing the Study and Selecting a Sample. COLLECTING QUALITAT...
Density-functional approximation for the correlation energy of the inhomogeneous electron gas
Langreth and Mehl (LM) and co-workers have developed a useful spin-density functional for the correlation energy of an electronic system. Here the LM functional is improved in t...
Classification and Regression by randomForest
Recently there has been a lot of interest in “ensemble learning” — methods that generate many classifiers and aggregate their results. Two well-known methods are boosting (see, ...
Development and testing of a general amber force field
Abstract We describe here a general Amber force field (GAFF) for organic molecules. GAFF is designed to be compatible with existing Amber force fields for proteins and nucleic a...
MapReduce
MapReduce is a programming model and an associated implementation for processing and generating large datasets that is amenable to a broad variety of real-world tasks. Users spe...
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet and Fast R-CNN have reduced the running tim...
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Rectified activation units (rectifiers) are essential for state-of-the-art neural networks. In this work, we study rectifier neural networks for image classification from two as...
New Algorithms and Methods to Estimate Maximum-Likelihood Phylogenies: Assessing the Performance of PhyML 3.0
PhyML is a phylogeny software based on the maximum-likelihood principle. Early PhyML versions used a fast algorithm performing nearest neighbor interchanges to improve a reasona...