L1 regularization is better than L2 for learning and predicting chaotic systems

LabNet: Toward a community of practice

Land Cover Mapping Using Ensemble Feature Selection Methods

LANL* V2.0: A New Radiation Belt Drift Shell Model for Real-Time and Reanalysis Applications

Large Margin Boltzmann Machines and Large Margin Sigmoid Belief Networks

Large margin filtering for signal sequence labeling

Large scale parallel document image processing

Large Scale Spectral Clustering Using Approximate Commute Time Embedding

Large-Margin kNN Classification Using a Deep Encoder Network

Large-Scale Clustering Based on Data Compression

Large-Scale Convex Minimization with a Low-Rank Constraint

Large-Scale Music Annotation and Retrieval: Learning to Rank in Joint Semantic Spaces

Las Cumbres Observatory Global Telescope Network: Keeping Education in the Dark

Lasting effects of instruction guided by the conflict map: Experimental study of learning about the causes of the seasons

Leading strategies in competitive on-line prediction

Learning a Factor Model via Regularized PCA

Learning Agents for Autonomous Space Asset Management (LAASAM)

Learning Algorithms for Keyphrase Extraction

Learning Analogies and Semantic Relations

Learning as Search Optimization: Approximate Large Margin Methods for Structured Prediction