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芹 菜 遗 传 育 种 研 究 进 展  [PDF]
北方园艺 , 2012,
Abstract: 芹菜是喜冷凉的蔬菜作物,在冬春季栽培中易受环境条件及自身遗传因素影响产生未熟抽薹现象,导致品质下降。现从未熟抽薹、雄性不育、分子标记、生物技术、抗病育种及新品种选育等方面对芹菜遗传育种进行综述,并对今后研究进行展望。?
无 氧 条 件 下TiO2 薄 膜 界 面 光 催 化 反 应 的XPS 研 究  [PDF]
杨喜昆,胡显智,何 兵,楚国栋
分子催化 , 2009,
Abstract: 设 计 利 用 X 射 线 光 电 子 能 谱 仪 的 高 真 空 系 统 作 为 无 氧 条 件 下 光 催 化 反 应 和 分 析 的 场 所 , 研 究 真 空 无 氧 环 境 和 大 气 有 氧 环 境 中 紫 外 光 激 发 TiO2 薄 膜 表 面 的 光 催 化 反 应 , 并 对 无 氧 条 件 下 TiO2 薄 膜 降 解 亚 甲 基 蓝 进 行 初 步 探 索 . 结 果 表 明 , 在 大 气 有 氧 和 真 空 无 氧 条 件 下 TiO2 薄 膜 经 紫 外 光 照 后 , 表 面 的 化 学 组 成 和 化 学 状 态 均 发 生 了 变 化 ; 在 有 氧 环 境 中 TiO2 薄 膜 表 面 氧 含 量 增 加 , 而 在 无 氧 环 境 中 TiO2 薄 膜 表 面 氧 含 量 减 少 . TiO2 薄 膜 表 面 的 吸 附 氧 是 维 持 无 氧 条 件 下 光 催 化 反 应 的 重 要 原 因 , 增 加 薄 膜 表 面 吸 附 氧 的 含 量 能 提 高 TiO2 薄 膜 在 无 氧 环 境 中 的 催 化 活 性 . 此 外 , 无 氧 条 件 下 TiO2 薄 膜 降 解 亚 甲 基 蓝 光 催 化 反 应 过 程 中 , 亚 甲 基 蓝 分 子 只 是 脱 去 了 某 个 含 氮 的 基 团 , 生 成 了 中 间 产 物 , 而 并 没 有 完 全 降 解 .
On Local Regret  [PDF]
Michael Bowling,Martin Zinkevich
Computer Science , 2012,
Abstract: Online learning aims to perform nearly as well as the best hypothesis in hindsight. For some hypothesis classes, though, even finding the best hypothesis offline is challenging. In such offline cases, local search techniques are often employed and only local optimality guaranteed. For online decision-making with such hypothesis classes, we introduce local regret, a generalization of regret that aims to perform nearly as well as only nearby hypotheses. We then present a general algorithm to minimize local regret with arbitrary locality graphs. We also show how the graph structure can be exploited to drastically speed learning. These algorithms are then demonstrated on a diverse set of online problems: online disjunct learning, online Max-SAT, and online decision tree learning.
遗山复句论  [PDF]
安徽师范大学学报(人文社会科学版) , 2013,
Abstract: 元好问诗中有些自我重复的诗句,赵翼举出9例,潘德舆举出5例,经查实际有50余例。这些复句可分为名句重出、佳句复出、熟句重出三类,三类重复的方式各有不同,有效地抑制了诗多复句的负作用。其复句多出现在应酬类、写景题画诗中,对其丧乱诗未构成直接损害。遗山诗多复句的原因是才力不足、晚年检点不够、应酬太多等。只要认真检点,就可以避免自我重复。
The Pareto Regret Frontier for Bandits  [PDF]
Tor Lattimore
Computer Science , 2015,
Abstract: Given a multi-armed bandit problem it may be desirable to achieve a smaller-than-usual worst-case regret for some special actions. I show that the price for such unbalanced worst-case regret guarantees is rather high. Specifically, if an algorithm enjoys a worst-case regret of B with respect to some action, then there must exist another action for which the worst-case regret is at least {\Omega}(nK/B), where n is the horizon and K the number of actions. I also give upper bounds in both the stochastic and adversarial settings showing that this result cannot be improved. For the stochastic case the pareto regret frontier is characterised exactly up to constant factors.
The Regret/Disappointment Scale  [PDF]
Francesco Marcatto,Donatella Ferrante
Judgment and Decision Making , 2008,
Abstract: The present article investigates the effectiveness of methods traditionally used to distinguish between the emotions of regret and disappointment and presents a new method --- the Regret and Disappointment Scale (RDS) --- for assessing the two emotions in decision making research. The validity of the RDS was tested in three studies. Study 1 used two scenarios, one prototypical of regret and the other of disappointment, to test and compare traditional methods (``How much regret do you feel'' and ``How much disappointment do you feel'') with the RDS. Results showed that only the RDS clearly differentiated between the constructs of regret and disappointment. Study 2 confirmed the validity of the RDS in a real-life scenario, in which both feelings of regret and disappointment could be experienced. Study 2 also demonstrated that the RDS can discriminate between regret and disappointment with results similar to those obtained by using a context-specific scale. Study 3 showed the advantages of the RDS over the traditional methods in gambling situations commonly used in decision making research, and provided evidence for the convergent validity of the RDS.
No-regret Dynamics and Fictitious Play  [PDF]
Yannick Viossat,Andriy Zapechelnyuk
Computer Science , 2012, DOI: 10.1016/j.jet.2012.07.003
Abstract: Potential based no-regret dynamics are shown to be related to fictitious play. Roughly, these are epsilon-best reply dynamics where epsilon is the maximal regret, which vanishes with time. This allows for alternative and sometimes much shorter proofs of known results on convergence of no-regret dynamics to the set of Nash equilibria.
珙 桐 繁 育 的 研 究 进 展  [PDF]
陈蕤坤,徐 莺
北方园艺 , 2010, DOI: 10.11937/bfyy.201023075
百 合 鳞 片 快 繁 试 验 研 究  [PDF]
王海新,赵 艳,崔雪艳
北方园艺 , 2010, DOI: 10.11937/bfyy.201017056
金 钱 松 研 究 进 展 与 展 望  [PDF]
北方园艺 , 2010, DOI: 10.11937/bfyy.201020076
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