Rotating Machinery Fault Diagnosis Based on Improved Multiscale Amplitude-Aware Permutation Entropy and Multiclass Relevance Vector Machine. [PDF]
Sensors (Basel), 2019 Chen Y, Zhang T, Zhao W, Luo Z, Lin H.
europepmc +1 more source
Relevance Feedback pada Information Retrieval dengan Support Vector Machine [PDF]
, 2009 ABSTRAKSI: Dengan semakin banyaknya informasi yang berkembang saat ini, search engine sebagai salah satu alat untuk mencari informasi di tuntut ketepatannya dalam menemukan kembali informasi tersebut.
Sri Ulinar Romatua N B
core
Information Transmission Strategies for Self‐Organized Robotic Aggregation
Advanced Robotics Research, EarlyView.In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Introducing chaos behavior to kernel relevance vector machine (RVM) for four-class EEG classification. [PDF]
PLoS One, 2018 Dong E +5 more
europepmc +1 more source
Group variable selection via relevance vector machine
We consider the problem of variable selection in the case that explanatory variables have some groups. We proposed the extension of relevance vector machine (Tipping, 2001) for variable selection at a group level.
Kinjo, Chiaki +8 more
core
Advanced Robotics Research, EarlyView.Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
PCLPred: A Bioinformatics Method for Predicting Protein-Protein Interactions by Combining Relevance Vector Machine Model with Low-Rank Matrix Approximation. [PDF]
Int J Mol Sci, 2018 Li LP, Wang YB, You ZH, Li Y, An JY.
europepmc +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Improving protein-protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model. [PDF]
Protein Sci, 2016 An JY +5 more
europepmc +1 more source
Advanced Robotics Research, EarlyView.This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source