Search Results for author:
Found 9 papers, 3 papers with code
A Broad Ensemble Learning System for Drifting Stream Classification
It employs an ensemble of output layers to address the limitations of BLS and handle drifts.
On-the-Fly Ensemble Pruning in Evolving Data Streams
Ensemble pruning is the process of selecting a subset of componentclassifiers from an ensemble which performs at least as well as theoriginal ensemble while reducing storage and computational costs. Ensemble pruning in data streams is a largely unexplored area ofresearch.
Cross-Market Product Recommendation
We introduce and formalize the problem of cross-market product recommendation, i. e., market adaptation.
Query-driven Segment Selection for Ranking Long Documents
Transformer-based rankers have shown state-of-the-art performance.
Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval
In the monolingual retrieval task, because of the same lexical inputs, it is easier for model to identify the query terms that occurred in documents.
100,000 Podcasts: A Spoken English Document Corpus
Paired with the audio files, they are also a resource for speech processing and the study of paralinguistic, sociolinguistic, and acoustic aspects of the domain.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
A Multi-Task Architecture on Relevance-based Neural Query Translation
We describe a multi-task learning approach to train a Neural Machine Translation (NMT) model with a Relevance-based Auxiliary Task (RAT) for search query translation.
A Novel Online Stacked Ensemble for Multi-Label Stream Classification
As data streams become more prevalent, the necessity for online algorithms that mine this transient and dynamic data becomes clearer.
Less Is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers
In this paper, we use a geometric framework for a priori determining the ensemble size, which is applicable to most of existing batch and online ensemble classifiers.
