A machine-learned analysis suggests non-redundant diagnostic information in olfactory subtests
نویسندگان
چکیده
منابع مشابه
Machine-learned pattern identification in olfactory subtest results
The human sense of smell is often analyzed as being composed of three main components comprising olfactory threshold, odor discrimination and the ability to identify odors. A relevant distinction of the three components and their differential changes in distinct disorders remains a research focus. The present data-driven analysis aimed at establishing a cluster structure in the pattern of olfac...
متن کاملIncorporating Redundant Learned Rules: A Preliminary Formal Analysis of EBL
"Explanation-based learning" — i.e., incorporating new redundant rules suggested by earlier problem solving experiences — is an attempt to speed up problem solving. Unfortunately, the resulting systems are not always more efficient on subsequent problems. This paper describes, analytically, whether these new rules should be added, and if so, where they should appear in the overall derivation st...
متن کاملPetri Net Analysis of Non-Redundant and Redundant Execution Schemes
The quest for high-performance has led to multiand many-core systems. To push the performance of a single core to the limit, simultaneous multithreading (SMT) is used. SMT enables to fetch different instructions from different threads, hiding latencies in other threads. SMT also gives the opportunity to execute redundant threads (redundant multithreading, RMT) and thus to detect faults by compa...
متن کاملEnglish Morphological Analysis with Machine-learned Rules
This paper expounds an algorithm for morphological analysis of English language. The algorithm consists of two closely related components: morphological rule learning and morphological analyzing. The morphological rules are obtained through statistical learning from wordlist, with particular morphological features of English language taken into consideration. The procedure of morphological anal...
متن کاملASIC Design of Butterfly Unit Based on Non-Redundant and Redundant Algorithm
Fast Fourier Transform (FFT) processors employed with pipeline architecture consist of series of Processing Elements (PE) or Butterfly Units (BU). BU or PE of FFT performs multiplication and addition on complex numbers. This paper proposes a single BU to compute radix-2, 8 point FFT in the time domain as well as frequency domain by replacing a series of PEs. This BU comprises of fused floating ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IBRO Reports
سال: 2019
ISSN: 2451-8301
DOI: 10.1016/j.ibror.2019.01.002