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Time-Varying Interaction Estimation Using Ensemble Methods
Directed information (DI) is a useful tool to explore time-directed interactions in multivariate data.
Learning to Bound the Multi-class Bayes Error
Providing a tight bound on the BER that is also feasible to estimate has been a challenge.
Consistent Alignment of Word Embedding Models
Word embedding models offer continuous vector representations that can capture rich contextual semantics based on their word co-occurrence patterns.
Similarity Function Tracking using Pairwise Comparisons
We propose Online Convex Ensemble StrongLy Adaptive Dynamic Learning (OCELAD), a general adaptive, online approach for learning and tracking optimal metrics as they change over time that is highly robust to a variety of nonstationary behaviors in the changing metric.
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