7 hasil untuk "Requena, Borja"
Menampilkan 1–7 · 0,01 detik · RSS
-
Artikel Jurnal Teks lengkap
Shopper intent prediction from clickstream e-commerce data with minimal browsing information
We address the problem of user intent prediction from clickstream data of an e-commerce website via two conceptually different approaches: a hand-crafted feature-based classification and a deep learning-based classification. In both approaches, we deliberately coarse-grain a new clickstream…
-
Preprint Teks lengkap
A Minimal Agent for Automated Theorem Proving
We propose a minimal agentic baseline that enables systematic comparison across different AI-based theorem prover architectures. This design implements the core features shared among state-of-the-art systems: iterative proof refinement, library search and context management. We evaluate this…
-
Artikel Jurnal Teks lengkap
Inferring pointwise diffusion properties of single trajectories with deep learning
To characterize the mechanisms governing the diffusion of particles in biological scenarios, it is essential to accurately determine their diffusive properties. To do so, we propose a machine-learning method to characterize diffusion processes with time-dependent properties at the experimental time…
-
Artikel Jurnal Teks lengkap
Objective comparison of methods to decode anomalous diffusion
Deviations from Brownian motion leading to anomalous diffusion are found in transport dynamics from quantum physics to life sciences. The characterization of anomalous diffusion from the measurement of an individual trajectory is a challenging task, which traditionally relies on calculating the…
-
Artikel Jurnal Teks lengkap
Quantitative evaluation of methods to analyze motion changes in single-particle experiments
The analysis of live-cell single-molecule imaging experiments can reveal valuable information about the heterogeneity of transport processes and interactions between cell components. These characteristics are seen as motion changes in the particle trajectories. Despite the existence of multiple…
-
Preprint Teks lengkap
Modern applications of machine learning in quantum sciences
In this book, we provide a comprehensive introduction to the most recent advances in the application of machine learning methods in quantum sciences. We cover the use of deep learning and kernel methods in supervised, unsupervised, and reinforcement learning algorithms for phase classification…
-
Buku Teks lengkap
Machine Learning in Quantum Sciences
Artificial intelligence is dramatically reshaping scientific research and is coming to play an essential role in scientific and technological development by enhancing and accelerating discovery across multiple fields. This book dives into the interplay between artificial intelligence and the…