Results 91 to 100 of about 883,011 (303)

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

open access: yesAdvanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer   +10 more
wiley   +1 more source

Using Decision Trees for Coreference Resolution

open access: yes, 1995
This paper describes RESOLVE, a system that uses decision trees to learn how to classify coreferent phrases in the domain of business joint ventures.
Lehnert, Wendy G., McCarthy, Joseph F.
core   +4 more sources

Endocytic Programming via Porous Silicon Nanoparticles Enhances TLR4 Nanoagonist Potency for Macrophage‐Mediated Immunotherapy

open access: yesAdvanced Functional Materials, EarlyView.
Porous silicon nanoparticles (PSiNPs) reprogram macrophage endocytosis of manganese@albumin‐based TLR4 nanoagonists, driving TRIF‐biased TLR4 signaling, eliciting robust proinflammatory responses, and potentiating macrophage‐mediated immunotherapeutic effects against NSCLC.
Xiaomei Zhang   +9 more
wiley   +1 more source

Induction of Ordinal Decision Trees [PDF]

open access: yes
This paper focuses on the problem of monotone decision trees from the point of view of the multicriteria decision aid methodology (MCDA). By taking into account the preferences of the decision maker, an attempt is made to bring closer similar research ...
Bioch, J.C., Popova, V.
core   +1 more source

Simplifying decision trees [PDF]

open access: yesInternational Journal of Man-Machine Studies, 1987
Many systems have been developed for constructing decision trees from collections of examples. Although the decision trees generated by these methods are accurate and efficient, they often suffer the disadvantage of excessive complexity and are therefore incomprehensible to experts.
openaire   +2 more sources

Cholesterol in mRNA‐Lipid Nanoparticles can be Replaced with the Synthetic Mycobacterial Monomycoloyl Glycerol Analogue MMG‐1

open access: yesAdvanced Functional Materials, EarlyView.
This study demonstrates that cholesterol in messenger RNA‐lipid nanoparticles (mRNA‐LNPs) can be completely replaced with an immunopotentiating lipid, i.e., a synthetic analogue of the C‐type lectin receptor agonist monomycoloyl glycerol (MMG‐1), without compromising physicochemical properties, in vivo transfection efficiency, and immunogenicity of the
Abhijeet G. Lokras   +19 more
wiley   +1 more source

A Transparent Semicrystalline Polymer Used in Thermally Responsive Smart Window Application

open access: yesAdvanced Functional Materials, EarlyView.
A thermally responsive smart window is fabricated based on a transparent semicrystalline polymer via copolymerizing stearyl acrylate and ethoxylated trimethylolpropane triacrylate. The high transparency is achieved by restricting the crystal domain to nanometer size via ultraviolet curing at a high temperature.
Jiacheng Fan   +12 more
wiley   +1 more source

Sparse Projection Oblique Randomer Forests

open access: yes, 2019
Decision forests, including Random Forests and Gradient Boosting Trees, have recently demonstrated state-of-the-art performance in a variety of machine learning settings.
Browne, James   +10 more
core  

On Decision Trees, Influences, and Learning Monotone Decision Trees

open access: yes, 2004
In this note we prove that a monotone boolean function computable by a decision tree of size s has average sensitivity at most √ log2 s. As a consequence we show that monotone functions are learnable to constant accuracy under the uniform distribution in time polynomial in their decision tree size.
O'Donnell, Ryan, Servedio, Rocco Anthony
openaire   +3 more sources

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