Results 131 to 140 of about 1,101,099 (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
Overview of molecular signatures of senescence and associated resources: pros and cons
FEBS Open Bio, EarlyView.Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas +6 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
Card games are effective tools to enhance foundation year health and safety inductions
FEBS Open Bio, EarlyView.A series of three card games was developed to actively deliver health and safety education to foundation year students. Most students reported positive responses regarding their enjoyment (89.9 %) and learning (74.7 %) from all games evaluated. Data revealed significant improvements in health and safety knowledge (P < 0.0001).
Rumana Rafiq +4 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To identify metabolic patterns in the brain and musculoskeletal system of stiff person syndrome spectrum disorders (SPSD) patients over time using PET imaging and evaluate the impact of immune therapy on metabolic activity as a surrogate for treatment response.
Munther M. Queisi +4 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Prognostication of disease course and prediction of treatment response in multiple sclerosis is an unmet need. We compared the performance of serum neurofilament light chain Z scores (age‐ and BMI‐adjusted) with absolute concentrations for the prediction of response to disease‐modifying therapy.
Maximilian Einsiedler +43 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
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
Learning to rank definitions to generate quizzes for interactive information presentation [PDF]
, 2007 Ryuichiro Higashinaka +2 more
openalex +1 more source
Cytokine, Chemokine, and Neurofilament Light Chain Signatures in LGI1 Autoimmune Encephalitis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives To investigate the value of cytokine, chemokine, and neurofilament light chain (NfL) concentrations in predicting relapse risk, chronic epilepsy, and functional impairment in LGI1 autoimmune encephalitis (AE). Methods Cytokines/chemokines (IL‐1‐beta, IL‐2, IL‐4, IL‐5, IL‐6, IL‐8/CXCL8, IL‐10, IL‐12p70, IL‐13, IL‐17A, GM‐CSF, TNF ...
Albert Aboseif +17 more
wiley +1 more source