Results 111 to 120 of about 4,859,475 (319)
Hardware Acceleration of Sparse Oblique Decision Trees for Edge Computing
This paper presents a hardware accelerator for sparse decision trees intended for FPGA applications. To the best of authors’ knowledge, this is the first accelerator of this type. Beside the hardware accelerator itself, a novel algorithm for induction of
Predrag Teodorovic +1 more
doaj +1 more source
An Automated Approach to the Design of Decision Tree Classifiers [PDF]
P. Argentiero +2 more
openalex +1 more source
The fabrication of a cellularized, multilayered 3D printed cylindrical model comprising hybrid bioinks inspired by the natural extracellular environment as an approach to artery mimetics, is presented. Using embedded bioprinting, interlayer crosslinking of self‐supporting concentric cylinders is achieved.
Uxue Aizarna‐Lopetegui +7 more
wiley +1 more source
An Application of Computerized Decision Tree Models in Management-Union Bargaining [PDF]
Frederick W. Winter
openalex +1 more source
From local explanations to global understanding with explainable AI for trees
Scott M. Lundberg +9 more
semanticscholar +1 more source
High‐Entropy Magnetism of Murunskite
The study of murunskite (K2FeCu3S4) reveals that its magnetic and orbital order emerges in a simple I4/mmm crystal structure with complete disorder in the transition metal positions. Mixed‐valence Fe ions randomly occupy 1/4 of the tetrahedral sites, with the remaining 3/4 being filled by non‐magnetic Cu+ ions.
Davor Tolj +18 more
wiley +1 more source
Probabilistic, nondeterministic, and alternating decision trees (Preliminary Version) [PDF]
Udi Manber, Martin Tompa
openalex +1 more source
Matrix Tropism Influences Endometriotic Cell Attachment Patterns
The influence of substrate stiffness and multicellular coculture on endometriotic cell attachment to extracellular matrix‐laden microarrayed islands is reported. This model investigates early endometriotic cell attachment, aiming to capture “lesion initiation events”.
Hannah S. Theriault +7 more
wiley +1 more source
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
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
Linear decision trees, subspace arrangements and Möbius functions [PDF]
Anders Björner, László Lovász
openalex +1 more source

