Results 41 to 50 of about 140,208 (262)

Heuristic Approaches to Attribute Reduction for Generalized Decision Preservation

open access: yesApplied Sciences, 2019
Attribute reduction is a challenging problem in rough set theory, which has been applied in many research fields, including knowledge representation, machine learning, and artificial intelligence.
Nan Zhang, Xueyi Gao, Tianyou Yu
doaj   +1 more source

Efficacy and Tolerability of Topotecan/Cyclophosphamide/Dinutuximab in Relapsed and Refractory High‐Risk Neuroblastoma: A Multi‐Institutional Retrospective Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Chemoimmunotherapy with irinotecan, temozolomide, and dinutuximab (I/T/DIN) has emerged as first‐line therapy for relapsed/refractory (r/r) high‐risk neuroblastoma (HRNB) in North America. Topotecan and cyclophosphamide (T/C) are often used in combination with dinutuximab in the setting of lack of response, progression, or incomplete ...
Benjamin J. Lerman   +17 more
wiley   +1 more source

Attribute Reduction Algorithm for Information System without Decision Attributes [PDF]

open access: yesProceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology (2012), 2012
The classical attribute reduction algorithm and its extended algorithms base on information system with decision attributes and can not be applied to attribute reduction for information system without decision attributes. So, based on rough set theory, this paper studied attribute reduction for information system without decision attributes in domain ...
Hao-Dong Zhu, Hong-Chan Li
openaire   +1 more source

Criterion‐Related Validity of the Neuropsychological Quick Assessment for Screening Cognitive, Motor, and Behavioral Impairments in Patients With Pediatric Brain Tumors: An Observational Pilot Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Neuropsychological complications may impair the qualitative prognosis of patients with pediatric brain tumors. However, multifaceted evaluations cannot be conducted in all patients because they are time consuming and burdensome for patients.
Ami Tabata   +9 more
wiley   +1 more source

An Accelerating Reduction Approach for Incomplete Decision Table Using Positive Approximation Set

open access: yesSensors, 2022
Due to the explosive growth of data collected by various sensors, it has become a difficult problem determining how to conduct feature selection more efficiently.
Tao Yan   +3 more
doaj   +1 more source

Cognitive Functioning in Vorinostat‐Treated Pediatric and Young Adult Patients Over the First 180 Days After Hematopoietic Stem Cell Transplant

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Cognitive and psychological difficulties could negatively interfere with treatment adherence and quality of life before and after hematopoietic stem cell transplant (HSCT). Methods to mitigate these changes may have positive effects on treatment success.
Kristen L. Votruba   +11 more
wiley   +1 more source

Characterizing One-Sided Formal Concept Analysis by Multi-Adjoint Concept Lattices

open access: yesMathematics, 2022
Managing and extracting information from databases is one of the main goals in several fields, as in Formal Concept Analysis (FCA). One-sided concept lattices and multi-adjoint concept lattices are two frameworks in FCA that have been developed in ...
María José Benítez-Caballero   +2 more
doaj   +1 more source

A PRSZT Registry Analysis of Prognostic Factors Influencing Survival and Relapse Rates After Second Allogeneic Hematopoietic Stem Cell Transplantation in Pediatric Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT A second allogeneic (allo‐)hematopoietic stem cell transplantation (HSCT2) is a potential curative option for pediatric patients with acute lymphoblastic leukemia (ALL) following relapse after first allogeneic transplantation (HSCT1), but its efficacy is limited by high relapse rates and transplant‐related toxicity in highly pretreated ...
Ava Momm   +10 more
wiley   +1 more source

Multi‑objective Feature Selection Algorithm for Neighborhood Rough Set Under Mixed Hierarchical Dependence

open access: yesShuju Caiji Yu Chuli
Accuracy and efficiency are the key metrics for evaluating the performance of feature selection algorithms. They correspond to the attribute dependence and reduction scale of neighborhood rough sets respectively. Conventional feature selection algorithms
LUO Gongzhi, ZHANG Shanglei
doaj   +1 more source

Incremental Attribute Reduction Algorithm Based on Binary Discernibility Matrix [PDF]

open access: yesJisuanji gongcheng, 2017
Incremental attribute reduction algorithm is one of the important research contents in the area of dyanmic data mining.To reduce the storage space of binary discernibility matrix,and by combining the advantages of the binary discernibility matrix that it
DING Mianwei,ZHANG Tengfei,MA Fumin
doaj   +1 more source

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