This paper presents a robust approach for learning from noisy pairwise
c...
In this paper, we present online algorithm called Delaytron for
learning...
In this paper, we propose deep architectures for learning instance speci...
This paper introduces a new online learning framework for multiclass
cla...
In this paper, we investigate a constrained formulation of neural networ...
This paper addresses the problem of multiclass classification with corru...
In this paper, we propose online algorithms for multiclass classificatio...
State-of-the-art ordinal regression methods rely on the correctness of t...
fMRI semantic category understanding using linguistic encoding models
at...
Active learning is an important technique to reduce the number of labele...
In this paper, we propose a novel mixture of expert architecture for lea...
In this paper, we propose exact passive-aggressive (PA) online algorithm...
The dispute of how the human brain represents conceptual knowledge has b...
In this paper, we propose a new sparse and robust reject option classifi...
In this paper, we propose an online learning algorithm PRIL for learning...
In this paper we propose a new algorithm for learning polyhedral classif...