SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval,https://arxiv.org/abs/2109.10086, 2021
The Gaussian scale mixture prior model encompasses two sparse-inducing priors, namely the Laplace and Student's T prior. Consequently, two versions of Bayesian sparse PCE based on this model have been developed: one using the Laplace prior and the other using the Student's T prior. Several ...
Damage detection problem is defined as an inverse model-based problem and a new damage-sensitive cost function is introduced using calculated Generalised Flexibility Matrix and Modal Assurance Criterion. The second-order approximation of Neumann Series Expansion-based Model Reduction approach is employed ...
不同模型的分数范围可能差异很大,所以词汇匹配(lexical match)和语义匹配的得分往往不可直接比较。为了获得最佳的结果排序,我们建议使用二阶段重排序(second stage rerankers),比如语义重排序(semantic reranking)或RRF(Reciprocal Rank Fusion)。 另外,使用match查询进行语义搜索,现在也支持ES|QL!下面是一个和前面类似的...
IranAliIranSeyedIranHosseinzadehIranAliIranZareIranAmiriIranGholamrezaIranGhodratiIranInverse Problems in Science & EngineeringHOSSEINZADEH A Z, AMIRI G G, RAZZAGHI S. Model-based identification of damage from sparse sen- sor measurements using neumann series expansion[J]. Inverse Problems in Science...
Such approaches can take advantage of the proven efficiency of inverted indexes and inherit desirable IR priors such as explicit lexical matching or some degree of interpretability. In this work, we thoroughly develop the framework of sparse representation learning in IR, which unifies term weighting...
polynomial chaos expansionnon-intrusive methodstructural reliability analysisThe reliability analysis of a structural system is typically evaluated based on a multivariate model that describes the underlying mechanistic relationship between the system's input and output random variables. This is the need to ...