Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Kernel partial least squares regression in reproducing kernel hilbert space
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
Theory for the Localized Setting of Learning Kernels
Localized Multiple Kernel Learning With Dynamical Clustering and Matrix Regularization
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces
Kernel Flows: from learning kernels from data into the abyss
Bayesian localized multiple kernel learning
Large-Scale Kernel Machines
Statistical Consistency of Kernel Canonical Correlation Analysis
Efficient Additive Kernels via Explicit Feature Maps
A learning framework using Green's function and kernel regularization with application to recommender system
KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition
Principal Component Analysis by $L_{p}$ -Norm Maximization
Kernel Methods for Pattern Analysis
Support vector machines and Kernel methods: the new generation of learning machines
Kernel sparse representation based classification
Laplacian regularized low rank subspace clustering
A Closed Form Solution to Multi-View Low-Rank Regression
Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels
Random feature maps for dot product kernels
Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS
1 Formulation and Evaluation of Minoxidil Gel for 2 Alopecia areata 3
The Nature of Statistical Learning Theory
Improving retention and graduate recruitment through immersive research experiences for undergraduates
Resolving ten MVNO issues with EPS architecture, VoLTE and advanced policy server
Pharmaceutical cold chain management: Platform based on a distributed ledger