Results 111 to 120 of about 1,371,617 (304)
Comparing rule-based and data-driven approaches to Spanish-to-Basque machine translation [PDF]
, 2007 In this paper, we compare the rule-based and data-driven approaches in the context of Spanish-to-Basque Machine Translation. The rule-based system we consider has been developed specifically for Spanish-to-Basque machine translation, and is tuned to ...
Stroppa, Nicolas +3 more
core
Improving adaptive bagging methods for evolving data streams
, 2009 We propose two new improvements for bagging methods on evolving data streams. Recently, two new variants of Bagging were proposed: ADWIN Bagging and Adaptive-Size Hoeffding Tree (ASHT) Bagging.
Pfahringer, Bernhard +7 more
core +1 more source
3D Printing Innovations in Polymeric Porous and Patterned Architecture
Advanced Functional Materials, EarlyView.Polymeric foams occupy a unique structural space between dense solids and open networks, where engineered void fraction governs mechanical compliance, thermal resistance, and mass transport. Additive manufacturing now enables precise spatial control over cellular architecture, unlocking designer foam structures across applications spanning crash ...
Dhanush Patil +13 more
wiley +1 more source
2nd IML Machine Learning Workshop
, 2018 Complex machine learning tools, such as deep neural networks and gradient boosting algorithms, are increasingly being used to construct powerful discriminative features for High Energy Physics analyses.
De Castro Manzano, Pablo
core
Designed Lewis Acid–Base Passivation for High Performance Perovskite Solar Cells
Advanced Functional Materials, EarlyView.ABSTRACT Silicon's high cost and long energy payback time remain major barriers to the global expansion of solar power. In contrast, metal–halide perovskites offer abundant, solution‐processable absorbers, and have achieved efficiencies of 25%–30%, positioning them as strong competitors to silicon.
Afna Manaf +4 more
wiley +1 more source
Blood Biomarkers and Surface‐Enhanced Raman Spectroscopy for Gout: A Comprehensive Review
Advanced Functional Materials, EarlyView.Schematic illustrating gout disease progression from asymptomatic hyperuricemia to chronic tophaceous disease, highlighting the limitations of conventional imaging and biochemical diagnostics and the potential of engineered SERS platforms for ultrasensitive blood‐based detection of urate‐related biomarkers across disease stages, with the color gradient
Isuri Perera +6 more
wiley +1 more source
Regression depth and support vector machine [PDF]
The regression depth method (RDM) proposed by Rousseeuw and Hubert [RH99] plays an important role in the area of robust regression for a continuous response variable.
Christmann, Andreas
core
Data mining in bioinformatics using Weka
, 2004 The Weka machine learning workbench provides a general purpose environment for automatic classification, regression, clustering and feature selection-common data mining problems in bioinformatics research.
Ian H. Witten +9 more
core +1 more source
Ultrasmall High‐Entropy Materials: Nanoscale Effects, Synthesis, and Mechanistic Insights
Advanced Functional Materials, EarlyView.This review article focuses on sub‐10 nm high‐entropy materials that combine nanoscale design with complex compositions for next‐generation applications. ABSTRACT Ultrasmall high‐entropy nanomaterials (USHENMs, <10 nm) merge multicomponent chemistry with size‐dependent effects, forming a distinct class of materials with unprecedented properties.
Yueyue He +5 more
wiley +1 more source
Combining multi-domain statistical machine translation models using automatic classifiers [PDF]
, 2010 This paper presents a set of experiments on Domain Adaptation of Statistical Machine Translation systems. The experiments focus on Chinese-English and two domain-specific corpora. The paper presents a novel approach for combining multiple domain-trained
Li, Baoli +5 more
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