【24h】

How Many Strings Are Easy to Predict?

机译:有多少个字符串容易预测?

获取原文
获取原文并翻译 | 示例

摘要

It is well known in the theory of Kolmogorov complexity that most strings cannot be compressed; more precisely, only exponentially few (Θ(2~(n-m))) strings of length n can be compressed by m bits. This paper extends the 'incompressibility' property of Kolmogorov complexity to the 'unpredictability' property of predictive complexity. The 'unpredictability' property states that predictive complexity (defined as the loss suffered by a universal prediction algorithm working infinitely long) of most strings is close to a trivial upper bound (the loss suffered by a trivial minimax constant prediction strategy). We show that only exponentially few strings can be successfully predicted and find the base of the exponent.
机译:在Kolmogorov复杂度理论中众所周知,大多数字符串无法压缩。更精确地讲,长度为n的仅几条(Θ(2〜(n-m)))字符串可以压缩m位。本文将Kolmogorov复杂度的“不可压缩性”性质扩展到预测复杂性的“不可预测性”性质。 “不可预测性”属性指出,大多数字符串的预测复杂度(定义为无限长的通用预测算法所遭受的损失)接近微小的上限(最小的maxmax常数预测策略所遭受的损失)。我们表明,只有很少的几条字符串可以成功地预测并找到指数的基础。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号