منابع مشابه
Iterative Bayes João
Naive Bayes is a well-known and studied algorithm both in statistics and machine learning. Bayesian learning algorithms represent each concept with a single probabilistic summary. In this paper we present an iterative approach to naive Bayes. The Iterative Bayes begins with the distribution tables built by the naive Bayes. Those tables are iteratively updated in order to improve the probability...
متن کاملA Pseudorandum Oracle Characterization of BBP TR 90 - 04
It is known from work of Bennett and Gill and Ambos-Spies that the following conditions are equivalent. (i) L 2 BPP. (ii) For almost all oracles A, L 2 P A . It is shown here that the following conditions are also equivalent to (i) and (ii). (iii) The set of oracles A for which L 2 P A has pspace-measure 1. (iv) For every pspace-random oracle A, L 2 P A . It follows from this characterization (...
متن کاملStatement João Dias December , 2009
Despite years of work on retargetable compilers, creating a good, reliable back end for an optimizing compiler still entails a lot of hard work. Moreover, a critical component of the back end—the instruction selector—must be written by a person who is expert in both the compiler’s intermediate code and the target machine’s instruction set. By generating the instruction selector from declarative...
متن کاملPublications – João Costa Pessoa - 2011
An account of recent research of the groups of Costa Pessoa and Maurya is presented, focusing on the preparation of several polystyrene anchored complexes and their use as catalysts in functionalization of alkenes. The procedures for covalently binding the ligands or ligand precursors are outlined, as well as for coordination of the metal ions. Instrumental techniques used for the characterizat...
متن کاملResearch Interests João Sedoc Description of Work
Presently my main research interest is the development and application of machine learning and statistical techniques toward natural language processing. The representation of words using vector space models is widely used for a variety of natural language processing (NLP) tasks. The two main word embedding categories are cluster based and dense representations. Brown Clustering and other hiera...
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ژورنال
عنوان ژورنال: Sinais de cena
سال: 2004
ISSN: 1646-0715
DOI: 10.51427/cet.sdc.2004.0008