Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
In recent years there has been a great deal of interest in developing effective techniques for ad-hoc search and retrieval in structured repositories such as relational databases ...
Nishant Kapoor, Gautam Das, Vagelis Hristidis, S. ...
: In this paper, we propose a method for retrieving products that match users’ search queries written in natural language. We use a large amount of product reviews written by con...
This paper describes a multi-objective Evolutionary Algorithm (EA) system for the synthesis of efficient non-linear VLSI circuit modules. The EA takes the specification for a no...
In this paper, we present a preemptive joint scheduling of hard deadline periodic and hard deadline aperiodic tasks on a uniprocessor real-time system. The scheduling has extended...