Results 71 to 80 of about 15,948,532 (198)
Cross-lingual Information Retrieval based on Multiple Indexes [PDF]
Sorg P, Braun M, Nicolay D, Cimiano P. Cross-lingual Information Retrieval based on Multiple Indexes.
Sorg, Philipp +3 more
core
Robust autonomous-driving detection requires using RGB texture and infrared thermal cues without sacrificing real-time inference. Existing RGB-IR detectors often rely on static feature concatenation or quadratic attention, which makes them sensitive to ...
Bo Li, Chunhao Li, Yuheng Li
doaj +1 more source
Reinforcement learning is a machine learning framework that relies on a lot of trial-and-error processes to learn the best policy to maximize the cumulative reward through the interaction between the agent and the environment.
Bangyan Chen, Jun Ye
doaj +1 more source
Integrating methods from IR and QA for geographic information retrieval [PDF]
This paper describes the participation of GIRSA at Geo- CLEF 2008, the geographic information retrieval task at CLEF. GIRSA combines information retrieval (IR) on geographically annotated data and question answering (QA) employing query decomposition ...
Hartrumpf, Sven +3 more
core +2 more sources
Ontology-based document representation for biomedical information retrieval [PDF]
In the current era of fast sequencing of entire genomes, more data is becoming available for analysis. This data analysis, in turn, leads to an increasing amount of scientfic publications.
Camous, Fabrice
core +2 more sources
Seagrass and hydrographic data for the Mediterranean Sea
The dataset includes 1,771 locations of major seagrass families (Cymodoceaceae, Zosteraceae, Posidoniaceae, Hydrocharitaceae, Ruppiaceae), which are further divided into the species they include, as well as 1,284 locations of seagrass absence ...
Dimitrios Effrosynidis +2 more
doaj +1 more source
Learning Similarity Functions in Information Retrieval [PDF]
Most models for Information Retrieval (IR) using neural networks are simple spreading activation models. Some of them were successfully applied to real world document collections.
Mandl, Thomas
core +1 more source
Underwater wireless sensor networks have a wide range of application prospects in important fields such as ocean exploration and underwater environment monitoring. However, the influence of complex underwater environments makes underwater wireless sensor
Jun Ye, Weili Jiang
doaj +1 more source
A New Image Oversampling Method Based on Influence Functions and Weights
Although imbalanced data have been studied for many years, the problem of data imbalance is still a major problem in the development of machine learning and artificial intelligence. The development of deep learning and artificial intelligence has further
Jun Ye, Shoulei Lu, Jiawei Chen
doaj +1 more source
Logic replicant: a new machine learning algorithm for multiclass classification in small datasets
Multiclass classification with small datasets often presents a significant challenge for conventional machine learning (ML) algorithms, predicting with an accuracy affected by this context of data scarcity. To remedy this, this papers presents a novel ML
Pedro Corral +2 more
doaj +1 more source

