Query-level Ranker Specialization [PDF]
, 2017 Traditional Learning to Rank models optimize a single ranking function for all available queries. This assumes that all queries come from a homogenous source.
Oosterhuis, H. +2 more
core +9 more sources
PhenoDP: leveraging deep learning for phenotype-based case reporting, disease ranking, and symptom recommendation [PDF]
Genome MedicineBackground Current phenotype-based diagnostic tools often struggle with accurate disease prioritization due to incomplete phenotypic data and the complexity of rare disease presentations.
Baole Wen +4 more
doaj +2 more sources
Variant Ranker: a web-tool to rank genomic data according to functional significance [PDF]
BMC Bioinformatics, 2017 Background The increasing volume and complexity of high-throughput genomic data make analysis and prioritization of variants difficult for researchers with limited bioinformatics skills.
John Alexander +4 more
doaj +2 more sources
Pheno-Ranker: a toolkit for comparison of phenotypic data stored in GA4GH standards and beyond [PDF]
BMC BioinformaticsBackground Phenotypic data comparison is essential for disease association studies, patient stratification, and genotype–phenotype correlation analysis.
Ivo C. Leist +6 more
doaj +2 more sources
A Simple Lexicographic Ranker and Probability Estimator [PDF]
, 2007 Given a binary classification task, a ranker sorts a set of instances from highest to lowest expectation that the instance is positive. We propose a lexicographic ranker, LexRank, whose rankings are derived not from scores, but from a simple ranking of ...
Mladenic, Dunja +7 more
core +3 more sources
Prehospital pain management in older adults with proximal Femur fractures: current practices and implications for delirium prevention [PDF]
SAGE Open MedicineBackground: Delirium is still a common complication among older adults. Established multifactorial interventional programs focus on intrahospital management.
Vesta Brauckmann +6 more
doaj +2 more sources
Conelikes and Ranker Comparisons
, 2022 For every fixed class of regular languages, there is a natural hierarchy of increasingly more general problems: Firstly, the membership problem asks whether a given language belongs to the fixed class of languages. Secondly, the separation problem asks for two given languages whether they can be separated by a language from the fixed class. And thirdly,
Viktor Henriksson, Manfred Kufleitner
openaire +4 more sources
Adversarial Retriever-Ranker for dense text retrieval [PDF]
, 2022 Current dense text retrieval models face two typical challenges. First, they adopt a siamese dual-encoder architecture to encode queries and documents independently for fast indexing and searching, while neglecting the finer-grained term-wise ...
Lv, Jiancheng +5 more
core +1 more source
Genesis and characteristics of the soil in A-R stage in forest ecosystems of NP 'Tara' [PDF]
Glasnik Šumarskog Fakulteta: Univerzitet u Beogradu, 2009 Different types of soil in A-R stage formed on limestone and serpentinite in forest ecosystems in NP 'Tara' were researched. Based on the specific effect of limestone on the soil genesis and evolution, two types of calcareous limestone bedrocks were ...
Knežević Milan, Košanin Olivera
doaj +1 more source
Joint Generator-Ranker Learning for Natural Language Generation [PDF]
, 2023 Generate-then-rank is a widely used mechanism for text generation, where a generator produces multiple text candidates and a ranker chooses the best one among the text candidates.
Shen, Yelong +6 more
core +1 more source