Results 21 to 30 of about 15,054,030 (290)
A Nested Attention Neural Hybrid Model for Grammatical Error Correction [PDF]
Grammatical error correction (GEC) systems strive to correct both global errors in word order and usage, and local errors in spelling and inflection. Further developing upon recent work on neural machine translation, we propose a new hybrid neural model with nested attention layers for GEC.
Jianshu Ji +5 more
openaire +4 more sources
Background In individually randomised trials we might expect interventions delivered in groups or by care providers to result in clustering of outcomes for participants treated in the same group or by the same care provider.
Jane Candlish +5 more
doaj +1 more source
In order to solve the low coupling displacement and high crosstalk error of multi-dimensional micro-displacement stage, a two-dimensional micro-displacement stage based on flexure hinges and piezoelectric ceramics is designed and analyzed.
Tao Jin +5 more
doaj +1 more source
Prediction of Clinical Outcomes in Acute Ischaemic Stroke Patients: A Comparative Study
Background: Clinical stroke rehabilitation decision making relies on multi-modal data, including imaging and other clinical assessments. However, most previously described methods for predicting long-term stroke outcomes do not make use of the full multi-
Deepthi Rajashekar +16 more
doaj +1 more source
A shift in strategy or “error”? Strategy classification over multiple stochastic specifications [PDF]
We present a classification methodology that jointly assigns to a decision maker a best-fitting decision strategy for a set of choice data as well as a best-fitting stochastic specification of that decision strategy.
Clintin P. Davis-Stober +3 more
doaj +2 more sources
Bayesian estimators in uncertain nested error regression models
Nested error regression models are useful tools for analysis of grouped data, especially in the case of small area estimation. This paper suggests a nested error regression model using uncertain random effects in which the random effect in each area is expressed as a mixture of a normal distribution and a positive mass at $0$.
Shonosuke Sugasawa, Tatsuya Kubokawa
openaire +4 more sources
On testing random effects in the nested-error regression model
We derive an exact F-test for random effects in the nested-error regression model. The derivation utilizes a matrix decomposition that offers a transformation of the response vector into two indepe...
Hall, Peter, Maiti, Tapabrata
openaire +6 more sources
A principled approach to programming with nested types in Haskell [PDF]
Initial algebra semantics is one of the cornerstones of the theory of modern functional programming languages. For each inductive data type, it provides a Church encoding for that type, a build combinator which constructs data of that type, a fold ...
Ghani, Neil, Johann, Patricia
core +4 more sources
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
Time‐restricted feeding (TRF) in mice increased liver fatty acid oxidation and decreased fatty acid biosynthesis. These alterations persisted when TRF was discontinued and the host was infected with Mycobacterium tuberculosis. Pre‐exposure to TRF did not alter tissue (lung and spleen) mycobacterial burden but significantly reduced CD3+ T cells in lungs
Ashish Gupta +7 more
wiley +1 more source

