Results 131 to 140 of about 1,080,302 (365)
Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm
The Web Conference, 2018 Recently a number of algorithms under the theme of 'unbiased learning-to-rank' have been proposed, which can reduce position bias, the major type of bias in click data, and train a high-performance ranker with click data. Most of the existing algorithms,
Ziniu Hu, Yang Wang, Qu Peng, Hang Li
semanticscholar +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT C‐truncating variants in the charged multivesicular body protein 2B (CHMP2B) gene are a rare cause of frontotemporal lobar degeneration (FTLD), previously identified only in Denmark, Belgium, and China. We report a novel CHMP2B splice‐site variant (c.35‐1G>A) associated with familial FTLD in Spain. The cases were two monozygotic male twins who
Sara Rubio‐Guerra +17 more
wiley +1 more source
PASSerRank: Prediction of allosteric sites with learning to rank. [PDF]
J Comput Chem, 2023 Tian H, Xiao S, Jiang X, Tao P.
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Reliable biomarkers are essential for tracking disease progression and advancing treatments for multiple system atrophy (MSA). In this study, we propose the MSA Atrophy Index (MSA‐AI), a novel composite volumetric measure to distinguish MSA from related disorders and monitor disease progression. Methods Seventeen participants with an
Paula Trujillo +11 more
wiley +1 more source
Continuation Methods and Curriculum Learning for Learning to Rank
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018 In this paper we explore the use of Continuation Methods and Curriculum Learning techniques in the area of Learning to Rank. The basic idea is to design the training process as a learning path across increasingly complex training instances and objective functions.
Ferro, Nicola +3 more
openaire +2 more sources
BCS1L‐Associated Disease: 5′‐UTR Variant Shifts the Phenotype Towards Axonal Neuropathy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives To investigate the consequences of a pathogenic missense variant (c.838C>T; p.L280F) and a 5′‐UTR regulatory variant (c.‐122G>T) in BCS1L on disease pathogenesis and to understand how regulatory variants influence disease severity and clinical presentation.
Rotem Orbach +11 more
wiley +1 more source
Time‐Frequency Fingerprint Analysis in SEEG Source‐Space to Identify the Epileptogenic Zone
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT This case study highlights the application of seizure fingerprint analysis in the source‐space of stereo‐EEG (SEEG) data to accurately localize the epileptogenic zone (EZ) in patients with complex cortical malformations. A 25‐year‐old female with extensive bilateral perisylvian polymicrogyria (PMG) presented with intractable focal seizures ...
Yash Shashank Vakilna +10 more
wiley +1 more source
Efficient interactive retrieval of spoken documents with key terms ranked by reinforcement learning [PDF]
, 2006 Yicheng Pan +4 more
openalex +1 more source
Correlation Between Irisin and Cognitive Functions in Alzheimer Dementia
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The myokine irisin, a recent positive mediator of exercise in the brain, shows neuroprotective functions against Alzheimer's disease (AD). The association between irisin and cognition has never been explored in a biologically defined cohort of patients.
Patrizia Pignataro +12 more
wiley +1 more source
Learning Mixtures of Ranking Models
, 2006 This work concerns learning probabilistic models for ranking data in a heterogeneous population. The specific problem we study is learning the parameters of a Mallows Mixture Model. Despite being widely studied, current heuristics for this problem do not have theoretical guarantees and can get stuck in bad local optima.
Awasthi, Pranjal +3 more
openaire +2 more sources