Results 81 to 90 of about 1,093,151 (324)
Learning to rank quantum circuits for hardware-optimized performance enhancement [PDF]
QuantumWe introduce and experimentally test a machine-learning-based method for ranking logically equivalent quantum circuits based on expected performance estimates derived from a training procedure conducted on real hardware.
Gavin S. Hartnett +5 more
doaj +1 more source
From Rankings to Ratings: Rank Scoring via Active Learning [PDF]
, 2018 In this paper we present RaScAL, an active learning approach to predicting real-valued scores for items given access to an oracle and knowledge of the overall item-ranking. In an experiment on six different datasets, we find that RaScAL consistently outperforms the state-of-the-art.
O'Neill, Jack +2 more
openaire +2 more sources
Next‐generation proteomics improves lung cancer risk prediction
Molecular Oncology, EarlyView.This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading [PDF]
, 2022 Lipei Zhang +5 more
openalex +1 more source
ES-Rank: evolution strategy learning to rank approach [PDF]
, 2017 Learning to Rank (LTR) is one of the current problems in Information Retrieval (IR) that attracts the attention from researchers. The LTR problem is mainly about ranking the retrieved documents for users in search engines, question answering and product ...
Ibrahim, Osman Ali Sadek +1 more
core
Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture
, 2017 We describe a new deep learning architecture for learning to rank question answer pairs. Our approach extends the long short-term memory (LSTM) network with holographic composition to model the relationship between question and answer representations. As
Chang Ming-Wei +12 more
core +1 more source
Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source
Molecular Oncology, EarlyView.This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris +10 more
wiley +1 more source
Molecular Oncology, EarlyView.Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee +8 more
wiley +1 more source
Tongxin xuebao, 2021 To solve the problem of quickly obtaining the optimal ranking result in the crowdsourcing result aggregation, an efficient and effective aggregation algorithm of Worker’s weight was proposed.The Worker’s weight optimization model based on differential ...
Yuping XING, Yongzhao ZHAN
doaj +2 more sources