Results 121 to 130 of about 831,117 (317)
Identifying Latent Transit Ridership
This report provides another tool for agencies to use in planning services by offering a method to show which parts of Houston METRO’s service area may have latent or untapped ridership.
Park, John, Shelton, Kyle
core +1 more source
Patients improve, patterns persist: longitudinal stability of RA joint involvement patterns
Objective Rheumatoid arthritis is a heterogeneous disease. Data‐driven approaches, from synovial histology to joint involvement patterns (JIPs), have sought to define clinically meaningful subgroups. Whether these subgroups represent stable phenotypes or transient disease states remains unclear.
Tjardo Maarseveen +24 more
wiley +1 more source
Enhancing Latent Computation in Transformers with Latent Tokens
Augmenting large language models (LLMs) with auxiliary tokens has emerged as a promising strategy for enhancing model performance. In this work, we introduce a lightweight method termed latent tokens; these are dummy tokens that may be non-interpretable in natural language but steer the autoregressive decoding process of a Transformer-based LLM via the
Yuchang Sun 0001 +3 more
openaire +2 more sources
Chinese Spoken Document Summarization Using Probabilistic Latent Topical Information [PDF]
[[abstract]]The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summarization ratio and then sequence them to form a concise summary.
Chen, Berlin;Yeh, Yao-Ming;Huang, Yao-Min;Chen, Yi-Ting
core
Objective High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck +10 more
wiley +1 more source
Necessary and Sufficient Conditions for Latent Separability [PDF]
This paper extends the nonparametric methods developed by Samuelson (1948), Houthakker (1950), Afriat (1973), Diewert (1973) and Varian (1982, 1983) to latently separable models.
Ian Crawford
core
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Lyfe-cycle effects on household expenditures: A latent-variable approach [PDF]
Using data from the Spanish household budget survey, we investigate life- cycle effects on several product expenditures. A latent-variable model approach is adopted to evaluate the impact of income on expenditures, controlling for the number of members ...
Eva Ventura, Albert Satorra
core
Latent variable models for mixed manifest variables [PDF]
Latent variable models are widely used in social sciences in which interest is centred on entities such as attitudes, beliefs or abilities for which there e)dst no direct measuring instruments.
Moustaki, Irini
core

