Results 121 to 130 of about 962,663 (328)
, 2001 This paper addresses the issue of the induction of orthogonal, oblique and multivariate decision trees. Algorithms proposed by other researchers use heuristic, usually based on the information gain concept, to induce decision trees greedily. These algorithms are often tailored for a given tree type ( e.g orthogonal), not being able to induce other ...
Llorà Fàbrega, Xavier +1 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao +5 more
wiley +1 more source
Provably optimal decision trees with arbitrary splitting rules in polynomial time [PDF]
arXivIn this paper, we introduce a generic data structure called decision trees, which integrates several well-known data structures, including binary search trees, K-D trees, binary space partition trees, and decision tree models from machine learning. We provide the first axiomatic definition of decision trees.
arxiv
Extremely Fast Decision Tree [PDF]
arXiv, 2018 We introduce a novel incremental decision tree learning algorithm, Hoeffding Anytime Tree, that is statistically more efficient than the current state-of-the-art, Hoeffding Tree. We demonstrate that an implementation of Hoeffding Anytime Tree---"Extremely Fast Decision Tree", a minor modification to the MOA implementation of Hoeffding Tree---obtains ...
arxiv
Using Decision Trees for Coreference Resolution
, 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
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
Advanced 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
Hardware Acceleration of Sparse Oblique Decision Trees for Edge Computing
Elektronika ir Elektrotechnika, 2019 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
A composition theorem for decision tree complexity [PDF]
arXiv, 2013 We completely characterise the complexity in the decision tree model of computing composite relations of the form h = g(f^1,...,f^n), where each relation f^i is boolean-valued. Immediate corollaries include a direct sum theorem for decision tree complexity and a tight characterisation of the decision tree complexity of iterated boolean functions.
arxiv
A Transparent Semicrystalline Polymer Used in Thermally Responsive Smart Window Application
Advanced 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