In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
This paper presents a technique called register value prediction (RVP) which uses a type of locality called register-value reuse. By predicting that an instruction will produce th...
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Bloom filters make use of a "probabilistic" hash-coding method to reduce the amount of space required to store a hash set. A Bloom filter offers a trade-off between its ...
Mark C. Little, Santosh K. Shrivastava, Neil A. Sp...
— Leveraging the power of scratchpad memories (SPMs) available in most embedded systems today is crucial to extract maximum performance from application programs. While regular a...
Taylan Yemliha, Shekhar Srikantaiah, Mahmut T. Kan...